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beaconed_scores_latest

Fetch the current score for each product to assess quality and prioritize SEO improvements. Filter by grade or date range for targeted analysis.

Instructions

GET /api/v1/scores/latest — fetch the latest score for each product (SPEC-ABSENT endpoint; verify availability with API team)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1-based)
gradeNoFilter by grade (excellent, good, fair, poor, critical)
sinceNoISO 8601 date — only scores on or after this date
untilNoISO 8601 date — only scores on or before this date
per_pageNoItems per page (max 100)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.3

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior, but it only mentions the endpoint is 'SPEC-ABSENT' and advises verification. It does not describe pagination behavior, auth requirements, or any side effects, which is a significant gap for a data-fetching tool.

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 concise and front-loads the HTTP method and path, then adds the SPEC-ABSENT caveat. It wastes no words, though the caveat could be considered subjective.

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?

For a simple filtered list endpoint with 100% schema coverage and no output schema, the description is mostly adequate. However, the SPEC-ABSENT uncertainty and lack of usage guidance make it incomplete for safe invocation.

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 fully documents all 5 parameters with type and meaning. The description adds nothing beyond the schema, so a baseline of 3 is appropriate.

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 HTTP method, path, and the resource ('latest score for each product'), which gives a specific verb and resource. However, it does not differentiate it from the sibling 'beaconed_scores_list' or 'beaconed_products_scores', so it lacks sibling differentiation.

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 like 'beaconed_scores_list' or 'beaconed_products_scores'. It mentions a SPEC-ABSENT endpoint with a verification note, but that is not usage guidance.

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