Skip to main content
Glama
DemandSphereDev

DemandSphere MCP Server

Official

search

Find DemandSphere records for keywords, AI mentions, citations, LLM traffic, and People Also Ask. Returns record IDs to retrieve details with fetch.

Instructions

Search DemandSphere data. Returns record IDs for use with fetch(). Covers keywords, AI mentions, citations, LLM traffic, PAA.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It usefully states that only record IDs are returned for use with fetch(), but it omits other behavioral details like read-only status, result limits, pagination, or error behavior.

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 three short sentences, front-loaded with the main purpose, and every sentence contributes meaningful information. There is no redundant or filler content.

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 one-parameter search tool with no output schema, the description adequately states the purpose, return type, and covered data categories. However, it lacks important operational details such as query syntax, response limits, pagination, and error conditions, which leaves the description incomplete for an agent to invoke confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has only one parameter (query) with 0% description coverage, and the tool description does not explain query syntax, expected format, or how the parameter is used. The listed categories hint at what can be searched, but the description does not compensate for the lack of parameter documentation.

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 the tool searches DemandSphere data and returns record IDs for fetch(), which clearly conveys its core function. It also lists the covered categories, but it remains somewhat generic compared to the many specific get_* sibling tools.

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 description implies when to use the tool by listing the data types it covers, but it does not explicitly contrast it with alternatives or state when not to use it. No exclusions or alternative tool references are provided.

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/DemandSphereDev/demandsphere-mcp'

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