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leave_feedback

Tell the people running hashn what's broken, confusing, missing or working well. No token needed. Useful categories: bug, idea, question, praise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesWhat's broken, confusing, missing or working well, in plain words.
categoryNoOptional: bug, idea, question or praise.
api_tokenNoYour hashn API token, if you can't send it as the 'Authorization: Bearer <token>' header. Omit it when the header is set.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / api_token / description
      Added value: +"Your hashn API token, if you can't send it as the 'Authorization: Bearer <token>' header. Omit it when the header is set."
    • addedInput schema / properties / category / description
      Added value: +"Optional: bug, idea, question or praise."
    • addedInput schema / properties / message / description
      Added value: +"What's broken, confusing, missing or working well, in plain words."
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the write-but-non-destructive profile is covered structurally. The description adds real value with 'No token needed', which clarifies the auth situation around the optional api_token parameter, but it never says where the feedback goes, whether it is reviewed, or whether it is public.

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

Conciseness5/5

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

Two short sentences, zero filler, with the action and the auth fact front-loaded before the optional category hint. Nothing could be cut without losing information.

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 simple three-parameter tool with no output schema, the description covers purpose, category options and the token-free path, which is enough to invoke it correctly. It is slightly thin on what happens after submission and whether an existing sibling tool would be more appropriate.

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 100% and every parameter (message, category, api_token) is already documented in the schema, including the category values. The description echoes the category list but adds no syntax, format or validation detail beyond the schema, so the baseline 3 applies.

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 concrete action (tell the hashn operators) plus the content it accepts (broken, confusing, missing, working well), so the agent knows this is a feedback-submission tool rather than a message or rating tool. It does not explicitly name a sibling it differs from, but the purpose is unmistakable.

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?

The opening sentence defines the trigger condition clearly (user has feedback about the product) and 'Useful categories: bug, idea, question, praise' guides how to use it. No explicit exclusions or named alternatives (e.g. vs send_message or rate) are given, so it stops short of a 5.

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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