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list-semantic-nearby

List semantically nearby entities across types (Story/Scenario/Test/Issue/Event). TEST uses TestLocator; STORY/SCENARIO/ISSUE use sourceOrdinalId; EVENT uses sourceEventTitle. Response TEST hits include TestLocator (never platform test_id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sourceTestNo
sourceOrdinalIdNo
sourceEntityTypeYes
sourceEventTitleNo
targetEntityTypesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses an output trait ('Response TEST hits include TestLocator (never platform test_id)'), which is real behavioral value. However, it says nothing about permissions, rate limits, pagination, or how many default results are returned, leaving meaningful behavioral gaps for a read tool.

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?

Three dense sentences, front-loaded with the core purpose, then the parameter routing and output caveat. No filler, though the parenthetical entity list partly duplicates the enum already present in the schema.

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?

No output schema and 0% param coverage mean the description should carry more. It covers entity-type-to-parameter routing well but omits the meaning of 'limit' and 'targetEntityTypes' and any notion of the response shape beyond the TEST-locator note, so it is adequate but not complete.

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

Parameters4/5

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

Schema coverage is 0%, so the description must compensate, and it does the most important part: mapping each sourceEntityType to its required input (TEST→TestLocator, STORY/SCENARIO/ISSUE→sourceOrdinalId, EVENT→sourceEventTitle). It still leaves 'limit' and 'targetEntityTypes' semantics unexplained, but this is strong compensation for the identifier parameters.

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 verb and resource ('List semantically nearby entities') and scopes it to five entity types. The 'across types' framing implicitly distinguishes it from the similarly named sibling list-semantic-similar-tests, though that contrast is never made explicit.

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 description never says when to reach for this tool versus list-semantic-similar-tests or any other list/get sibling, nor does it state any precondition. It only tells the agent how to call it, not when.

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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