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list_help_center_articles

List all Help Center articles with metrics (views, helpful votes), category details, and optional filters.

Input Schema

NameRequiredDescriptionDefault
bot_idYes
searchNo
statusNo
category_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations at all, the description carries full burden: it does confirm this is a read operation and names the metric fields returned, which is useful since there is no output schema. It omits pagination/result limits, what 'status' values are legal, and any bot-scoping or permission implications for bot_id.

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

Conciseness5/5

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

A single well-formed sentence with the primary action front-loaded and zero filler. Nothing is redundant, though the terseness is also the source of the semantic gaps scored elsewhere.

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

Completeness2/5

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

For a four-parameter tool with 0% schema coverage, no annotations, and no output schema, the description is too thin — parameters are uncharacterized and there is no guidance on result size or pagination. Only the return-field preview partially fills the void left by the missing output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so all four parameters are undocumented in structured data. The description compensates only with the vague phrase "optional filters," giving no meaning for search (substring? fuzzy?), status (what values?), or category_id — and bot_id, the sole required parameter, is never mentioned.

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 concrete verb and resource ("List all Help Center articles") and previews the returned content (views, helpful votes, category details). It reads clearly against the single-article sibling get_help_center_article, but never names that sibling or list_help_center_categories explicitly.

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?

The only usage signal is the phrase "optional filters" — no statement of when to call this versus get_help_center_article, how the filters combine, or whether search/status/category_id are ANDed or exclusive. An agent must infer everything about selection conditions.

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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