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evaluate commitment

evaluate_commitment
Read-onlyIdempotent

Decide whether a proposed refund, feature, or timeline is in the approved set. REFUSED means do not say it, do not invent a substitute, and draft for human review instead of promising the customer. APPROVED means sayOnly is the only permitted wording. Pass channel to also enforce the escalation limit.

Input Schema

NameRequiredDescriptionDefault
kindYes
deskIdYes
channelNo
proposalYes

Output Schema

NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive behavior, and the description goes further by prescribing the required downstream action for each verdict (do not invent a substitute, use only sayOnly wording, escalate to human review). That is genuine behavioral context beyond the annotations, though it doesn't cover failure modes or what happens with an unknown proposal.

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

Conciseness4/5

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

Four tightly packed sentences with the purpose front-loaded and the verdict semantics following. Every sentence adds information, though the density means a reader must parse the conditional behaviors carefully.

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?

An output schema exists, so return values need not be explained, and the description supplies the crucial interpretation of REFUSED vs APPROVED plus the 'sayOnly' field's role. The remaining gap is desk scoping and edge-case behavior, which is minor given the structured output coverage.

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

Parameters3/5

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

Schema description coverage is 0%, so the description carries the burden. It effectively explains 'kind' (refund/feature/timeline) and the optional 'channel' (also enforces the escalation limit), and 'proposal' is inferable from context, but 'deskId' scope and any format expectations are left entirely undocumented.

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 opening sentence gives a specific verb (decide) and resource (whether a proposed refund/feature/timeline is in the approved set), which maps cleanly to the 'kind' enum values. It distinguishes itself from list/save siblings, and the closing line hints at its relationship to escalation checking, though it never names evaluate_escalation explicitly.

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

Usage Guidelines3/5

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

Usage is implied through the outcome semantics (REFUSED -> draft for human review; APPROVED -> use sayOnly), which tells the agent what to do with the result. However, it never states when to choose this tool over list_approved_commitments or evaluate_escalation, and there are no exclusions, so the routing guidance is only partial.

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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