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HenryKautz

Semantic Scholar MCP Server

by HenryKautz

search_authors

Find academic authors by name to retrieve their Semantic Scholar profiles and scholarly works.

Instructions

Search for authors on Semantic Scholar.

Args: query: Author name to search for. limit: Max results (1-100, default 10).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only restates the parameters and gives no details about match behavior, result ordering, pagination, rate limits, or edge cases. For a read-only search this is less risky than a mutation, but still minimal.

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?

The description is compact and front-loaded with the purpose, followed by a short Args block. Every sentence adds value, with no filler or unnecessary repetition of schema details.

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 two-parameter search tool with an output schema, the description covers the core call adequately. However, with no annotations and no guidance on distinguishing it from sibling tools, some contextual information is left to inference.

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?

Schema description coverage is 0%, but the description compensates by explaining that 'query' is the author name and 'limit' is the max results with a range of 1-100 and default of 10. This adds meaningful semantic information beyond the bare schema types.

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 states a specific verb ('Search') and resource ('authors on Semantic Scholar'), making the core purpose clear. It is implicitly distinct from siblings like search_papers, but it does not explicitly differentiate itself from get_author or other author-related 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?

There is no guidance on when to use this tool versus alternatives such as search_papers or get_author. The description only states what the tool does, leaving the agent to infer selection criteria from the sibling list.

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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