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andri-setiawan

MCP-scopus

search_by_subject_area

Search academic papers by ASJC subject area code to support domain-specific literature reviews. Filter by year, keywords, and sort results.

Instructions

Search for papers within a specific ASJC (All Science Journal Classification) subject area code. Useful for domain-specific literature reviews.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of results (default: 10, max: 200)
startNoStarting index for pagination (default: 0)
sortByNoSort fieldrelevance
yearToNoFilter papers up to this year
keywordsNoAdditional keywords to narrow the search within the subject area
yearFromNoFilter papers from this year onwards
sortOrderNoSort orderdesc
subjectCodeYesASJC subject area code (e.g., '1700' for Computer Science, '2200' for Engineering, '2700' for Medicine). See https://service.elsevier.com/app/answers/detail/a_id/15181/supporthub/scopus/ for full list.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It frames the tool as a read/search operation, which is implicit and correct, but adds nothing about result volume, pagination behavior, sort defaults, or what a result contains. It does not contradict anything, but beyond 'search' it discloses little behavioral context.

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?

Two tight sentences with the core action and identifier front-loaded, no filler, and no repetition of schema detail. Efficient and well-structured.

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 an eight-parameter, no-output-schema search tool with no annotations, the description is minimal: it explains the primary filter and a use case but does not cover pagination, sorting, or result set behavior. It is adequate as a minimum viable definition but not complete for a tool with this many filter options.

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 all eight parameters are already documented in the schema, including the subjectCode enumeration examples (1700, 2200, 2700) and the external list link. The description adds no parameter meaning beyond what the schema provides, so the baseline of 3 applies.

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?

States a specific verb (Search) and resource (papers) scoped to a concrete domain concept (ASJC subject area code), and the parenthetical expands the acronym. It is clear and specific, but it does not distinguish this tool from sibling search tools like search_papers or search_papers_advanced, leaving the agent to infer the boundary.

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?

The phrase 'Useful for domain-specific literature reviews' implies a usage context (discipline-level browsing) but gives no explicit when-to-use/when-not guidance and never names the alternative sibling tools to route between. Usage is implied rather than specified.

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