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iampopovich

Allure TestOps MCP

by iampopovich

suggest_env_var_values

Find recorded environment variable values by partial text, optionally filtered by env var ID, project, or launch. Autocomplete valid values for AQL ev[] filters before running a search.

Instructions

Search for recorded environment variable values by partial text. Optionally scope by envVarId, projectId, or launchId. Use this to autocomplete valid values for AQL ev[] filters before running a search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoPartial value text to search for.
envVarIdNoFilter by specific env var key ID. Must be a number (integer), not a string.
projectIdNoScope to a project. Must be a number (integer), not a string.
projectNameNoProject name (alternative to projectId).
launchIdNoScope to a specific launch. Must be a number (integer), not a string.
pageNoPage number, 0-based. Must be a number (integer), not a string.
sizeNoPage size. Must be a number (integer), not a string.
Behavior3/5

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

No annotations provided, so description must cover behavioral traits. It mentions search and optional scoping but does not disclose output format, pagination details, or rate limits. Adequate but minimal.

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?

Two concise sentences, no redundant information. Front-loaded with the core action and optional scoping.

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?

Adequately describes the tool for a search with multiple optional filters. Lacks details on return structure or pagination, but given schema covers parameters, it is sufficiently 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 100%, so baseline is 3. Description adds context about partial text search and optional scoping but does not significantly enhance parameter understanding beyond schema.

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?

Description clearly states 'Search for recorded environment variable values by partial text' with optional scoping, distinguishing it from siblings like list_env_var_values and suggest_env_vars.

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?

Explicitly states 'Use this to autocomplete valid values for AQL ev[] filters before running a search', providing a clear use case. Lacks explicit exclusions or alternatives but sufficiently guides usage.

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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