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warpmetrics

Warpmetrics MCP Server

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by warpmetrics

get_run_matrix

Retrieve a comparison matrix showing metrics across runs with a given label to analyze performance and track changes over time.

Instructions

Get run matrix. Retrieve a comparison matrix for runs with a given label, showing metrics across runs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYesLabel (required)
fromNoStart date (ISO 8601)
toNoEnd date (ISO 8601)
limitYesItems per page
offsetYesPagination offset
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions retrieving a comparison matrix but doesn't disclose behavioral traits like whether this is a read-only operation, potential rate limits, authentication requirements, or what happens with invalid labels. The description is too vague about the tool's behavior beyond the basic action.

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 brief and front-loaded with the core purpose in the first sentence. Both sentences earn their place by clarifying the action and what's retrieved. It could be slightly more structured but avoids unnecessary verbosity.

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 no annotations, no output schema, and a tool that retrieves complex data (a comparison matrix with metrics), the description is incomplete. It doesn't explain what the matrix contains, how metrics are compared, or what format the output takes, leaving significant gaps for an AI agent to understand the tool's full context.

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 documents all parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain what 'label' represents in context or how the matrix is structured). 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 clearly states the verb ('Get', 'Retrieve') and resource ('run matrix'), specifying it's a comparison matrix for runs with a given label showing metrics across runs. However, it doesn't explicitly differentiate from sibling tools like 'get_run' or 'list_runs', which reduces it from a perfect score.

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 provides no guidance on when to use this tool versus alternatives. With sibling tools like 'get_run', 'list_runs', and 'get_run_timeline', there's no indication of when this matrix view is preferred over other run-related queries, leaving usage context unclear.

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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