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scopus_api_usage_status

Check current Elsevier API usage and rate-limit status for Scopus to monitor remaining quota and avoid request failures.

Instructions

Check current Elsevier API usage/rate-limit status (via Scopus endpoint).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.5.0

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. 'Check' implies a read-only, non-destructive operation, which is a useful behavioral signal. However, it does not disclose whether the call itself counts against rate limits, whether authentication is required, or what fields the status response contains. Core behavior is clear, but higher-level transparency is missing.

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 no filler. It states the action, target, and endpoint efficiently. Every word earns its place.

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 zero-parameter status-check tool, the description identifies the resource and action. However, with no output schema and no annotations, an agent is left without any indication of the response shape (e.g., whether it returns raw HTTP headers, JSON fields, or error details). This is a minor gap but could affect how the agent interprets the tool's output.

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 the baseline is 4. There is no parameter semantics burden on the description, and the schema correctly reflects an empty parameter object.

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

Purpose5/5

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

The description uses a specific verb ('Check') with a clear resource ('Elsevier API usage/rate-limit status') and scopes it via the Scopus endpoint. None of the sibling tools relate to usage status, so it is immediately distinguishable without needing to inspect schemas.

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

Usage Guidelines4/5

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

The description implies the intended use case: checking current rate-limit or usage status for the Elsevier/Scopus API. Since no sibling tool offers this capability, explicit exclusions or alternative routing are unnecessary. The context is clear, though it doesn't explicitly state when to use it (e.g., upon hitting rate limits).

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