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ati-hh-mcp

ati-hh-mcp

by timur-ai

Update Negotiation

update_negotiation

Apply a collection action such as invite or decline to one or more negotiations using the ID and body arguments from the negotiation list; set confirm=True to execute the mutation.

Instructions

Apply a collection action (for example invite or decline) to one or more negotiations. The {id} path value and required body arguments (topic_id, message, send_sms and others) come from actions[].url and actions[].arguments of the negotiation list. Mutation: requires confirm=True.

Input Schema

NameRequiredDescriptionDefault
idYes
bodyYes
confirmNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden and does flag the critical trait: it is a mutation gated behind confirm=True. It stops short of describing side effects (what declining/inviting actually changes), permission requirements, reversibility, or what a successful call returns, which matters for an irreversible state change.

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?

Three short sentences in a sensible order: what it does, where the arguments come from, then the mutation/confirm warning. The confirm requirement is slightly buried at the end but nothing is redundant.

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

Completeness3/5

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

For a mutation tool with no annotations, no output schema, and a nested free-form body, the description covers the essentials (provenance of arguments, confirm gate) but omits the supported action set, failure modes, and return behavior. Adequate to call it, not fully sufficient to call it confidently.

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

Parameters4/5

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

Schema description coverage is 0% and body is a free-form object with additionalProperties=true, so the description has to compensate — and it does address all three params: id comes from actions[].url, body fields (topic_id, message, send_sms, 'others') from actions[].arguments, and confirm=True is mandatory. It loses a point because 'and others' leaves the actual body contract open-ended and the id's format is never characterized.

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?

States a specific verb ('apply a collection action') on a specific resource ('negotiations') with concrete examples (invite, decline), which distinguishes it from siblings like move_negotiation or send_negotiation_message. One flaw: it says 'one or more negotiations' while the schema takes a single scalar 'id', which could mislead an agent about batching.

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

Usage Guidelines4/5

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

Gives a concrete recipe for when/how to use it: pull the path value from actions[].url and the body from actions[].arguments of the negotiation list. It does not explicitly exclude adjacent tools (move_negotiation, request_phone_interview) that also mutate negotiations, so the alternative-selection guidance is implied rather than stated.

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