Skip to main content
Glama

get_evidence_matrix

Read-onlyIdempotent

Generates an evidence matrix from KER facets to aid AOP discovery and scientific review.

Instructions

Build an evidence matrix from KER facets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entriesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
matrixYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.10.0

TDQS

C2.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds nothing beyond that — no note on what a matrix contains, whether computation is deterministic, or expected input shape.

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

Conciseness2/5

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

One short sentence is technically concise, but here brevity reflects under-specification rather than economy. Nothing is front-loaded because there is essentially no content to front-load.

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?

An output schema exists so return values need not be described, but the input contract is completely opaque and the description does nothing to compensate. For a tool whose only parameter is an undocumented array-of-objects, the definition is inadequate.

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

Parameters2/5

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

Schema description coverage is 0% and the single required parameter 'entries' is an array of objects with arbitrary string/null values, so the schema offers no semantic help. The phrase 'from KER facets' hints only weakly at what entries represent and does not describe structure, keys, or format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource ('Build an evidence matrix') but 'from KER facets' is unexplained domain jargon. It gives a rough sense of purpose but does not distinguish this tool from siblings or clarify what a KER facet is.

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 guidance on when to use this tool versus alternatives, no prerequisites, and no conditions. The agent must infer usage entirely from the name and the broader toolset.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.