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timps_test_intelligence

Analyze test suites and git bug history to identify untested code paths, suggest property-based tests, and propose mutation-testing configurations.

Instructions

Analyse test suite + git bug history to find untested code paths, suggest property-based tests, and propose a mutation-testing config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions analysis, finding, suggesting, and proposing, implying a read-only or advisory role, but it does not explicitly state that the tool makes no changes, nor does it mention any access requirements (e.g., git history permissions) or limitations. The absence of any side-effect disclosure makes it insufficiently transparent.

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?

The description is a single sentence of about 17 words, front-loading the main action and listing all key outputs. There is no fluff or redundancy, making it highly concise and well-structured.

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?

The tool has moderate complexity (involves test suite analysis and git history) and no output schema. The description lists actions but does not explain what the tool returns (e.g., a report, a list of suggested tests, a config file) or any prerequisites. It lacks completeness for an agent to know what to expect after invocation.

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?

Both parameters are fully described in the schema (100% coverage). The description does not add extra semantics beyond what the schema provides (e.g., it doesn't elaborate on how 'request' or 'language' affect the analysis). Since schema coverage is complete, the baseline is 3, and the description adds no meaningful additional parameter information.

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 the tool's function: analyzing test suites and git bug history to find untested code paths, suggest property-based tests, and propose mutation-testing configs. It uses specific verbs and resources, and it distinguishes from siblings like timps_unit_test_writer (which writes tests) and timps_flaky_test_detective (which detects flaky tests).

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

Usage Guidelines3/5

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

The description implies the scenario (when you want to analyze test coverage and get suggestions), but it does not explicitly state when to use this tool versus alternatives. There is no mention of exclusions or when not to use it. Given the large sibling list, explicit guidance would be helpful, but the purpose is clear enough for basic inference.

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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