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Read the content queue with scores

get_content_queue
Read-only

The space's drafts as the user sees them in 'All Content': text, platform, status, and the reviewer's score / verdict / one-line fix. FREE. Use it to present drafts for approval one by one (show the text, the score against review_threshold, and the reviewer's summary), and after write_content_candidates to read back how your drafts scored. status: active (default — pending + reviewed + staged), pending, reviewed, staged (approved by the user, awaiting publish), discarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
statusNo
space_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so safety is covered. The description adds useful behavioral context beyond annotations: the tool is FREE, and it explains what each status value means including the default 'active'. It does not mention pagination or empty-queue behavior, but this is minor given the read-only nature.

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?

The description is front-loaded with the core purpose and return contents, then usage contexts, then status semantics. It is somewhat long but every sentence adds value; the status enumeration is informative rather than filler.

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 tool with no output schema, the description covers the main return fields, intended use cases, cost implication (FREE), and status semantics. Missing details like default limit, ordering, or how to interpret verdict are not critical but would make it fully complete.

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 0%, so the description must compensate. It does a good job explaining the 'status' parameter, including the default and each enum value's meaning. However, it does not explain the 'limit' parameter's semantics or default behavior, and 'space_id' is left entirely to its name and the schema's required marker.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb and resource: reading the space's content queue, and enumerates the returned fields (text, platform, status, reviewer score/verdict/fix). It also differentiates itself from siblings by framing this as the user-facing 'All Content' view and explicitly connecting to write_content_candidates, making its role distinct from other getters.

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

Usage Guidelines4/5

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

The description explicitly says when to use it: to present drafts for approval one by one and to read back scores after write_content_candidates. It does not provide when-not-to-use guidance or name alternative tools, so it stops short of the top tier.

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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