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What can be read and changed

describe
Read-onlyIdempotent

What can be read and changed: the me.* views with their columns, every field set can change (with allowed values), and what add and remove act on. Read it once before your first query or set.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "describe"
  }
}

Input Schema

NameRequiredDescriptionDefault
topicNoOnly this part; omit for all
media_typeNoShow the fields and statuses for this kind

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / media_type / enum
      Previous value: -[
      -  "book",
      -  "movie",
      -  "album",
      -  "show",
      -  "anime",
      -  "podcast",
      -  "game",
      -  "manga",
      -  "comic"
      -]New value: +[
      +  "book",
      +  "movie",
      +  "album",
      +  "show",
      +  "anime",
      +  "podcast",
      +  "game",
      +  "manga",
      +  "comic",
      +  "boardgame"
      +]
  2. Changed1 schema field changed
    • changedInput schema / properties / media_type / enum
      Previous value: -[
      -  "book",
      -  "movie",
      -  "album",
      -  "show",
      -  "anime",
      -  "podcast",
      -  "game",
      -  "manga"
      -]New value: +[
      +  "book",
      +  "movie",
      +  "album",
      +  "show",
      +  "anime",
      +  "podcast",
      +  "game",
      +  "manga",
      +  "comic"
      +]
  3. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds the useful caching cue 'read it once' and scopes the content, but says nothing about response size, whether the full dump is large, or how the two filters change the payload.

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?

Two sentences, front-loaded with what is returned and ending with the actionable instruction. Slightly dense phrasing ('every field set can change', 'what add and remove act on') costs a little clarity but there is no filler.

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?

There is no output schema, so the description carries the burden of explaining return values, and it does so at a useful level of abstraction (views, columns, fields, allowed values, add/remove targets). Combined with a fully documented two-enum schema, an agent has enough to invoke it correctly.

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 both parameters are enums with their own descriptions, so the schema fully documents them. The description never mentions topic or media_type, so it adds no meaning beyond the schema; 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?

The description concretely enumerates the resource it returns: the me.* views with their columns, settable fields with allowed values, and the targets of add/remove. That is specific enough to know this is a schema/discovery tool, though it never says plainly 'returns reference documentation' and relies on inference from the content list.

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?

'Read it once before your first query or set' gives a clear trigger and implicitly routes the agent away from other tools at that moment (query/set are named as the operations it precedes). It stops short of explicit exclusions, e.g. whether to re-read after media_type changes or when topic should be narrowed.

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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