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ecidk

Research Insights MCP Server

by ecidk

get_validation_queue

Retrieve insights pending manual review from user research calls. Optionally set a limit and minimum confidence threshold to filter the validation queue.

Instructions

Get insights pending manual review

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
min_confidenceNo
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It states 'Get' implying a read operation, but does not explicitly confirm safety, idempotency, or any side effects. The minimal description offers no additional transparency.

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

Conciseness3/5

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

The description is very concise (4 words). While front-loaded, it is too brief to be adequately informative. It could include more details without sacrificing conciseness, so it does not fully earn its place.

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?

Given the tool's simplicity (2 params, no output schema), the description should explain what is returned (e.g., structure of insights) and default behavior. It only says 'insights pending manual review', leaving the agent without sufficient context about the tool's output or scope.

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

Parameters1/5

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

The input schema has 2 parameters (limit, min_confidence) with 0% description coverage in the schema. The description does not mention or explain these parameters, failing to add value beyond the schema. For a low-coverage case, the description should compensate but does not.

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?

The description clearly states the action ('get') and resource ('insights pending manual review'), effectively distinguishing it from siblings like 'search_by_validation_status' which implies searching rather than fetching. However, it could be more specific about what 'validation queue' entails.

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 guidance is provided on when to use this tool versus alternatives such as 'search_by_validation_status' or 'validate_insight_batch'. The description lacks any context about prerequisites or scenarios.

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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