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Crawlora MCP

goat_suggest

Read-only

GOAT search autocomplete for a partial query: matching curated collections (whose slugs goat_collection and goat_search's collection_slug accept) and matching products.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum curated collections to return. Defaults to 8, maximum 20. Does not affect the product count, which upstream fixes at 25.
queryYesPartial search text to autocomplete, e.g. the first few characters a user has typed.

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

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuine behavioral context: the response mixes two entity types (curated collections plus products) and the collection slugs are directly usable by goat_collection and goat_search's collection_slug, which tells the agent how to chain calls. It does not mention pagination or result limits (the limit semantics live only in the schema).

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?

A single dense sentence with no filler, front-loaded with the tool's function. The parenthetical about slug acceptance is slightly convoluted but earns its place by enabling tool chaining.

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 an output schema, 100% parameter coverage, and safety annotations, the description only needs to establish purpose and downstream linkage — both are present. An agent has everything required to invoke it and use its results 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%, so both 'query' and 'limit' are fully documented in the schema (including the default 8 / max 20 and the fixed 25-product count). The description adds no parameter-level detail beyond the schema, which is the expected baseline when the schema does the work.

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+resource ('GOAT search autocomplete for a partial query') and enumerates the two result kinds it returns (curated collections and products). This implicitly separates it from goat_search (full search) and goat_trending_searches, though it never names a sibling as an alternative.

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

Usage Guidelines3/5

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

The phrase 'for a partial query' implies typeahead/autocomplete usage, but there is no explicit when-to-use guidance or when-not (e.g. 'use goat_search once you have a full query'). The references to goat_collection and goat_search are about consuming returned slugs, not about choosing between tools.

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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