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Crawlora MCP

audible_charts

Read-only

Audible charts (audible.com/charts) — ranked list with position, price, and rating.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based result page, default 1, 20 results per page.
chartNoChart type: most_listened (default) or bestselling.
durationNoRuntime-length filter.
languageNoLanguage filter.
category_idNoRestrict to a category id from GET /audible/categories. Mutually exclusive with access_level and content_type=podcasts.
access_levelNoMembership access level: all (default), free, plus, or premium. Mutually exclusive with category_id and content_type=podcasts.
content_typeNoContent type: audiobooks (default) or podcasts.
originals_onlyNoRestrict to Audible Originals only.

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

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and scope are covered structurally. The description's only addition is the shape of the result (position, price, rating), which an output schema already provides, so it contributes almost no behavioral context of its own.

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 with no waste; the resource identity and result shape come first. It is efficient, though borderline under-specified for a tool with eight filter parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Annotations and a full output schema carry the safety and return-value burden, and the schema documents all filters. However, for an 8-parameter chart tool set alongside audible_author_charts, the description gives no differentiation or usage context, leaving a meaningful gap.

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% for all 8 parameters, including mutual-exclusion notes between category_id, access_level, and content_type=podcasts. The description adds nothing 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 resource (Audible charts at audible.com/charts) and what the result is: a ranked list with position, price, and rating. It does not explicitly distinguish itself from the sibling audible_author_charts, but 'charts' versus 'author charts' is reasonably inferable.

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?

No when-to-use guidance, no prerequisites, and no named alternatives. It does not say when to use audible_charts versus audible_author_charts, audible_search, or audible_products, leaving the agent to guess.

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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