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GeniusFlow Evidence

gf_status

Federation SLA/status: build_id, bake time, endpoint health, honest tier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It enumerates output fields, providing some idea of what the user will receive, but does not mention side effects, permissions, error conditions, or whether network calls are made. This is minimal transparency.

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 a single compact sentence, front-loaded with the main function and a list of included items. It is economical with no filler, though it is a fragment rather than a full sentence.

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?

Given the tool has no parameters and no output schema, the description is the sole source of information. It lists several output fields, but terms like 'endpoint health' and 'honest tier' are left undefined, leaving some ambiguity. It is adequate for a simple status tool but not fully complete.

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

Parameters4/5

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

The tool has zero parameters, so per rubric the baseline is 4. The description does not need to elaborate on parameter meanings, and the input schema confirms there are none.

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 identifies the tool as providing Federation SLA/status and lists specific fields returned (build_id, bake time, endpoint health, honest tier). While it lacks an explicit verb, the subject matter is unambiguous, and the content list distinguishes it from generic sibling tools.

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?

No guidance is given on when to use this tool versus any alternatives. The only hint is the word 'status', which implies querying for status but does not explicitly explain appropriate contexts or exclusions.

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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TDQS

B3.4/5.0
Disambiguation4/5

Tools are mostly distinct but there is some potential confusion: gf_darshan and gf_package both involve admit/refuse operations, and gf_cite and gf_verify both deal with claims. Descriptions help clarify, but boundaries are not perfectly crisp.

Naming Consistency5/5

All tools follow a consistent 'gf_' prefix with snake_case resource names. The pattern is uniform across the entire set, making it predictable for agents.

Tool Count5/5

With 9 tools, the server is well-scoped for a federation service. Each tool covers a distinct aspect without excessive bloat or redundancy.

Completeness4/5

The tool surface covers core operations like citation, darshan sampling, dossier access, packaging, reporting, and verification. Minor gaps exist (e.g., no explicit update/delete for claims), but the existing tools cover the main workflows without causing dead ends.