AI Agent Tool Routing Register

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- Define which tools an agent may call, their parameter schemas and runtime limits. - Review a proposed tool registration before connecting it to an agent runtime. - Document timeout, retry and authorization contracts for an existing router.

Category: AI & Intelligent Agents
Repo: antigravity-awesome-skills
Path: skills/ai-agent-tool-routing/SKILL.md
Updated: 10/19/2026, 8:30:53 AM

AI Summary

- Define which tools an agent may call, their parameter schemas and runtime limits. - Review a proposed tool registration before connecting it to an agent runtime. - Document timeout, retry and authorization contracts for an existing router. It is useful for LLM applications, agent orchestration, RAG pipelines, AI evaluation, and multi-agent workflows. Source: antigravity-awesome-skills (skills/ai-agent-tool-routing/SKILL.md).

AI Agent Tool Routing Register

When to Use

  • Define which tools an agent may call, their parameter schemas and runtime limits.
  • Review a proposed tool registration before connecting it to an agent runtime.
  • Document timeout, retry and authorization contracts for an existing router.

Scope and prerequisites

This skill produces a register and a verification plan. A register does not implement a router or establish that a tool is safe. Read the actual server/tool schema and the application's identity and permission model. Record observed configuration separately from proposed policy. Do not invoke registered tools, read credentials or enable a production registration merely to fill the table.

Workflow

  1. Identify a task, the calling principal/tenant, the intended tool and its read or write effect. Tool names, model output and descriptions are not authorization.
  2. Read the advertised schema and implementation boundaries. Define required fields, additional-field rejection, length/range limits and schema version. Prefer rejection to guessed or lossy coercion. Schema validation does not enforce row-level authorization, path containment or network restrictions.
  3. Describe identity propagation and server-side resource checks. Bind a request to the verified principal; never let a tool argument select an arbitrary tenant.
  4. Set measured/project-approved timeout, rate, concurrency, response-size and cost limits. Cancellation must propagate to downstream work where supported; returning a timeout alone does not prove a write did not finish.
  5. Classify retries by effect. Retry only classified transient failures within a bounded budget. A write requires a verified server-side deduplication contract and reconciliation for ambiguous completion; a random key alone is insufficient.
  6. Define adversarial and failure cases: missing/unknown arguments, wrong tenant, denied resources, unavailable tool, oversized response and late completion.
  7. Record actual test evidence and unresolved gaps. Keep status Draft until the required checks ran against the exact runtime and schema revision. A register label never grants execution permission.

Field reference

FieldTypeExample / interpretation
tool_idstring, primary keyTOOL-001; use TEXT/VARCHAR, not a SERIAL integer
canonical_namestringread_document; match the advertised tool exactly
serverstringproject-docs local MCP; identify the actual installation
invocation_modeenumsynchronous / asynchronous / scheduled
effectenumread / write; unknown effects stay unresolved
parameter_schemaobject or immutable referencerequired document_id, unknown fields rejected
authorization_policyimmutable referenceverified caller plus document ownership check
runtime_limitsobjectillustrative timeout 5000 ms, response 65536 bytes
retry_contractobjectmaximum attempts, transient classes, deduplication evidence
statusenumdraft / tested / deprecated / blocked
evidencearray of referencesexact implementation revision, case IDs and observed results

For SQL or Notion exports, retain these distinctions: textual IDs stay strings; objects/arrays need a deliberate JSON representation or related tables; dates must use actual date values. Do not treat a checklist boolean as a proved control. Escape spreadsheet formula-like text as text when exporting user-supplied fields.

Worked example

An agent needs a document summary. The proposed tool accepts only a document ID; the server obtains the caller from verified session context, not from arguments.

{
  "tool_id": "TOOL-001",
  "canonical_name": "read_document",
  "server": "project-docs",
  "effect": "read",
  "parameter_schema": {
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "properties": {"document_id": {"type": "string", "minLength": 1, "maxLength": 80}},
    "required": ["document_id"],
    "additionalProperties": false
  },
  "runtime_limits": {"timeout_ms": 5000, "max_response_bytes": 65536},
  "retry_contract": {"max_attempts": 2, "retry_on": ["transient_unavailable"]},
  "status": "draft",
  "evidence": []
}

These limits are illustrative requirements, not measured service capabilities. The local schema can reject an added tenant_id, but an existing document ID still requires server-side ownership authorization. Expected negative checks: missing ID rejected, extra tenant rejected, another tenant's document denied, timeout reported without fabricated content. A positive authorized read alone does not close the negative cases. Promote to tested only with recorded actual results.

Limitations

  • No RPC, blockchain, relayer or transaction-signing prerequisite applies to this generic agent-tool register; a real tool may declare separate dependencies.
  • This document supplies no production router, authentication adapter or sandbox.
  • Declared retry/idempotency/rate limits must be enforced by the actual runtime.
  • Never log sensitive arguments or full results by default. Use case IDs and redacted error categories; preserve uncertainty after an ambiguous write.

Related skills

Read mcp-builder, mcp-server-security or error-handling-patterns when their actual scope fits the integration. They do not establish correctness by association.

Related skills