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propose_role_question

Questions routed to a role for one oversight case, from the records and source lookups you supply. It proposes; it never asks anyone. Read-only view of the records you supply; it writes, signs and executes nothing. Needs TRUST_GATE_API_URL, TRUST_GATE_API_KEY and TRUST_GATE_TENANT_ID to be set, and the tenant comes from that setting, never from an argument. Returns status OK, REFUSED or UNAVAILABLE (a missing setting, a surface that is off, or an error is UNAVAILABLE, never made-up data). The TrustGate API must be a version that serves this view; it returns UNAVAILABLE until then. A mapping or readout is not a compliance finding.

Input Schema

NameRequiredDescriptionDefault
requestYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does so well: it discloses read-only behavior, required environment variables, that tenant comes from settings not arguments, the OK/REFUSED/UNAVAILABLE status model, UNAVAILABLE for missing settings or disabled surfaces, a version dependency, and a caution that output is not a compliance finding. Only the request payload behavior and response shape details are left implicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded, but the text is over-dense and repetitive, restating read-only behavior in multiple clauses ('it never asks anyone', 'read-only view', 'writes, signs and executes nothing'). It is informative yet would benefit from tighter grouping of prerequisites, statuses, and caveats.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with hidden environment prerequisites and a multi-state status model, the description covers the operational essentials and an output schema exists to explain returns. The main gap is the opaque request payload, which neither schema nor description clarifies.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single 'request' parameter is a free-form nested object with 0% schema description coverage, and the description only hints that it holds 'records and source lookups you supply' without documenting keys or structure. It adds a little meaning (tenant is never a parameter) but leaves the payload largely unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource ('Questions routed to a role for one oversight case') and clarifies the tool only proposes rather than soliciting responses. The scope (one oversight case, records you supply) distinguishes it from execution-oriented siblings like gate_decision or mint_action_receipt, though the phrasing is somewhat dense.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains what the tool won't do ('never asks anyone', 'writes, signs and executes nothing') but gives no explicit when-to-use guidance or named alternatives among the many siblings. An agent must infer from the read-only framing that this is for draft question generation rather than live delivery.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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