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devtune_get_recent_answer_fetches

Get up to 20 latest answer-fetch hourly records in the selected UTC window. Each item is one rollup record, not an individual event or a whole-window total. hour_bucket is the start of an hour. verified_event_count confirms the peer address; failed_event_count contradicts the claimed operator; unknown_no_address_count means the sensor supplied no address; unknown_no_contract_count means the operator publishes no supported identity-checking contract; unknown_check_unavailable_count means a published check could not complete. The before-verification remainder is event_count minus those five counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum hourly records, 1-20. Defaults to 20.
windowDaysNoFixed rolling window in days: 7, 30, or 90. Defaults to 30.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It extensively defines the meaning of output fields (e.g., verified_event_count, unknown_no_address_count), which adds real semantic transparency. However, it omits operational behavior such as read-only nature, required permissions, rate limits, or side effects.

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 then defines each count. While dense and lengthy, every sentence defines a field that is otherwise undocumented (no output schema), so the length is justified. Structure is clear despite being a single paragraph.

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?

Given no output schema and no annotations, the description does the heavy lifting by explaining the return record structure and each count's meaning. It is largely complete for interpretation, though it could clarify the overall response format or empty-state behavior.

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%, so the schema already fully documents both parameters (limit and windowDays). The description adds no parameter-level meaning beyond what the schema provides. Baseline 3 is appropriate when the schema does the heavy lifting.

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 states a specific verb ('Get'), resource ('answer-fetch hourly records'), and scope ('up to 20 latest ... in the selected UTC window'). It also clarifies the unit of return ('one rollup record, not an individual event or a whole-window total'), but does not explicitly differentiate itself from any sibling tool.

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?

There is no explicit guidance on when to use this tool versus alternatives. The description explains what the records contain, but never states conditions, exclusions, or sibling tools to prefer. Usage is only implied by the tool name and scope.

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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