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Crawlora MCP

manga_search

Read-only

Searches manga by free-text query. Response includes total, has_next_page, and results[]: id, id_mal, type, title, format, status, average_score, popularity, chapters, volumes, genres, tags[], cover_image, site_url.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number, default 1.
sortNoResult ordering. Allowed values: SEARCH_MATCH, POPULARITY_DESC, SCORE_DESC, TRENDING_DESC, FAVOURITES_DESC, START_DATE_DESC. Default SEARCH_MATCH.
queryYesRequired search text, e.g. Frieren.
per_pageNoResults per page, default 10, clamped to 50.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the response shape (total, has_next_page, results fields), which is technically beyond the annotations but largely duplicates the existing output schema; no pagination behavior, rate limits, or auth context is added.

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

Conciseness3/5

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

The purpose sentence is well front-loaded and efficient, but the second sentence enumerates 14 return fields that are already defined in the output schema, which is wasted space rather than useful conciseness.

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 read-only search tool with full schema coverage and an existing output schema, the description supplies the core purpose and is functionally complete. It lacks usage routing, but the structured fields carry the rest.

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%, so query, page, sort, and per_page are already fully documented in the schema. The description adds no additional meaning 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 specific verb and resource ('Searches manga by free-text query'), which is distinguishable from sibling tools like manga_title (detail) and manga_rankings (rankings). However, it does not explicitly name which sibling to use for related tasks, so it stops short of full sibling differentiation.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no mention of alternatives such as manga_title for fetching a specific manga's details, and no stated prerequisites or constraints. The agent must infer usage purely from the name and the surrounding tool list.

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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