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Crawlora MCP

chick_fil_a_faq

Read-only

Chick-fil-A customer FAQ corpus: questions, answers (text and HTML) and their categories, filterable by free text and category.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoOptional. 1-based page number, default 1.
searchNoOptional. Free-text filter over question and answer text.
categoryNoOptional. Comma-separated faq_category term ids, from any prior response's categories[].id.
per_pageNoOptional. Entries per page, 1-100, default 20.

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

A3.5/5.0
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 useful context about the payload (answers come in both text and HTML, categories are attached), but says nothing about pagination behavior, corpus size, or result ordering beyond what the schema conveys.

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 front-loaded sentence that packs in the resource, the returned fields, and the filter dimensions with no filler. It is efficient, though it leans on a colon-list construction rather than a crisply actionable statement.

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?

With an output schema present, the description need not explain return values, and annotations cover the safety profile; the remaining job is conveying what the corpus holds and how to filter it, which it does. Only the absence of guidance on alternatives and result-shape limits keeps it short of full completeness.

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% — page, per_page, search, and category are all documented in the schema, including the note that category ids come from any prior response's categories[].id. The description only echoes that filtering exists, adding no syntax or format 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?

Names a specific resource (Chick-fil-A customer FAQ corpus) and enumerates its contents — questions, answers in text and HTML, and their categories — plus the supported filters. An agent can distinguish it from chick_fil_a_menu, chick_fil_a_locations, or chick_fil_a_content, though the description never explicitly contrasts itself with those siblings.

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?

Usage is only implied: 'filterable by free text and category' hints at how to narrow results, but there is no statement of when to reach for this tool versus chick_fil_a_content or chick_fil_a_content_taxonomy, and no exclusions or prerequisites.

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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