reply_to_feedback

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

No annotations are provided, so the description carries the full disclosure burden, and it does substantial work: it explains that the server stamps both author attribution and a coding-agent label from the authenticated token, and warns against self-signing because it is redundant and untrusted. It does not cover error behavior, rate limits, or whether replies can be edited/deleted, leaving some gaps for a mutation tool.

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

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

Front-loads the operation, then the attribution mechanics, then the use case. Every sentence earns its place, though the middle sentence is dense and slightly repetitive on the trust/duplication point.

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

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

With no annotations and no output schema, the description covers the behavioral and usage dimension well and no return-value detail is required. The main missing piece is the meaning/format of the 'id' parameter, which neither description nor schema defines.

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

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

Schema description coverage is 0% for both required parameters. The description gives real guidance on the content of 'message' (don't self-sign, describe what you changed), but never clarifies what 'id' refers to (presumably the pin/feedback id) or its format, so it only partially compensates for the documentation gap.

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

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

States a specific verb and resource (post a reply on a pin's thread) and implicitly distinguishes itself from siblings like update_feedback_status and get_feedback by being the only thread-writing tool. An agent can identify the operation without opening the schema.

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

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

Explicitly says when to use it: 'to say what you changed before resolving the pin, so a silent status flip does not leave them guessing,' which routes the agent away from a bare status update. It stops short of naming update_feedback_status as an alternative or stating any when-not-to-use case, so it is clear context but not full when/when-not guidance.

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