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SpreadBench NCSX — AI Infrastructure Bond Credit Spread Index

ncsx_methodology

Get methodology metadata: version, DOI, license, formulas, data source licensing status.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden; "Get" signals a read-only, side-effect-free operation, and the field list hints at the return contents. However, it doesn't state that the response is static/versioned, whether it's safe to call repeatedly, or anything about result format, which is the main gap for an unannotated tool.

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?

A single front-loaded sentence with the verb and resource first, followed by a compact field list. Every clause adds information and nothing is repeated or padded.

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?

For a zero-parameter metadata endpoint with no output schema, the description usefully enumerates what comes back, which substitutes for the missing output schema. It stops just short of explaining how those values should be used (e.g., for citation or compliance checks).

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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly implies a parameterless call by describing a single fixed metadata payload.

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?

"Get methodology metadata" names a specific verb and resource, then enumerates the exact fields returned (version, DOI, license, formulas, licensing status). This clearly separates it from the sibling tools, which all appear to return numeric data (bond, levels, weekly, latest) rather than documentation, though it doesn't explicitly state that contrast.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer you call this to cite sources, check licensing, or look up formulas. There is no explicit statement of when to prefer it over ncsx_attribution or ncsx_latest, and no mention of caching or frequency expectations for what is clearly static metadata.

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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