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Dexra

Measured accuracy of our flags

score_performance
Read-onlyIdempotent

Free. For every launch risk flag we publish: how often flagged tokens collapsed within 24h versus the base rate across all launches, sample size, test window and daily drift. Price: free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoTest window in days

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint and idempotentHint, so safety and idempotency are covered. The description adds that the data is free and mentions 'daily drift', hinting at a time-series return, but discloses nothing about rate limits, auth, or how flags are defined. Adequate but thin beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core sentence is dense and informative, but it opens with a wasted fragment ('Free.') and closes by repeating the same idea ('Price: free.'), so pricing bookends the description while the substantive content sits in the middle. Two redundant clauses cost it structure points.

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?

With no output schema, the description carries the full burden of describing returns, and it does list the fields reported (rates, base rate, sample size, window, drift). It still leaves ambiguity about format, the scale/meaning of 'daily drift', and how the days parameter shapes output. Reasonably complete for a read-only stats tool but not fully so.

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 coverage is 100% for the single 'days' parameter, whose bounds and default are already documented in the schema. The phrase 'test window' loosely corresponds to it but adds no format or behavior detail beyond what the schema provides. Baseline 3 applies.

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 resource — reported accuracy of the service's published launch risk flags — and enumerates its content (collapse rate within 24h vs base rate, sample size, window, drift). This is far clearer than the vague name 'score_performance'. It does not, however, explicitly differentiate itself from the similarly-named sibling 'service_stats'.

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 statement of when to reach for this tool versus siblings such as service_stats or token_deep_check, nor any prerequisites or exclusions. The only operative guidance is pricing, which does not tell an agent when to invoke it.

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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