Skip to main content
Glama

Search CS Authors

dblp.cs.author
Read-onlyIdempotent

Search for computer science authors by name on DBLP. Returns author profile details including aliases, affiliations, and publication record URL. Use to find researchers or discover collaborators.

Instructions

Search 3M+ computer science authors on DBLP. Returns author name, DBLP PID, profile URL, aliases, affiliations. Use for finding researchers, checking publication records, or discovering collaborators (DBLP, CC0)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesAuthor name to search (e.g. "Geoffrey Hinton", "Yann LeCun", "Ilya Sutskever")
limitNoNumber of results (1-30, default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, making the safety profile clear. The description adds value by specifying the returned fields and that the data is from DBLP under CC0. No contradictions; the description supplements the annotations well.

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 two sentences long, front-loaded with the action and resource, followed by return fields and use cases. Every word is purposeful; no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple tool (2 parameters, 1 required), output schema present, and clear annotations, the description adequately covers purpose, usage, and return fields. No gaps are apparent.

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 coverage is 100%: both query and limit have clear descriptions with examples and constraints. The description does not add additional parameter semantics beyond what the schema already provides, so baseline score of 3 is appropriate.

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 clearly states the verb 'Search' and the resource '3M+ computer science authors on DBLP'. It lists specific return fields (name, DBLP PID, profile URL, aliases, affiliations) and distinguishes from sibling tool dblp.cs.search by focusing on authors.

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 provides explicit usage contexts: 'for finding researchers, checking publication records, or discovering collaborators'. It does not include explicit when-not-to-use or alternatives, but the sibling tool dblp.cs.search is implicitly the alternative for paper searches.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/whiteknightonhorse/APIbase'

If you have feedback or need assistance with the MCP directory API, please join our Discord server