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Reply to requester

reply_to_requester

Write to the person who opened a support request. The text becomes a comment the requester can read on their page and is emailed to them — unlike add_comment, which is always internal and never reaches the requester. Write it to the customer, in their language (get_support_request says which). Requires full write access to the support project. Answers with the comment id and whether the letter went ('emailed'; 'emailError' when it failed — the reply is kept either way).

Input Schema

NameRequiredDescriptionDefault
keyYesIssue key of the request, e.g. 'SUPPORT-12'.
bodyYesWhat to tell the requester. Markdown is kept as written.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Goes well beyond the annotations: it discloses the permission requirement (full write access to the support project), the external side effect (email delivery to the requester), and the failure semantics — 'emailError' still keeps the reply. That last point is operationally important and appears nowhere in the structured fields.

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 dense sentences, front-loaded with purpose and the sibling contrast. The final sentence is a bit packed with quoted return-field names, but each sentence carries distinct information an agent needs.

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

Completeness5/5

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

With only two well-documented parameters and no output schema, the description nonetheless explains the return shape (comment id, emailed/emailError) and the side effect. Nothing needed to invoke it correctly is missing.

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 coverage is already 100%, so the baseline is 3, but the description adds real semantic guidance: the body must be addressed to the customer and written in their language, which the schema does not say. The 'key' parameter is left entirely to the schema.

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

Purpose5/5

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

States a specific verb and resource — writing to the person who opened a support request — and immediately distinguishes it from the sibling add_comment by outcome (requester-visible and emailed vs. internal-only). An agent can separate the two without opening either schema.

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

Usage Guidelines5/5

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

Names the alternative (add_comment) and the exact condition that selects this tool: the message must reach the requester. It also points at get_support_request to determine the correct language before writing, which is concrete pre-call guidance.

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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