Skip to main content
Glama
mikeli20221102-ux

diyan-research-mcp

framework_excerpt

Fetch approved research framework snippets across enterprise, business, finance, people, and brand domains. Use for grounded research with sources and falsification conditions.

Instructions

读取经过批准的研究框架片段。framework 为 enterprise/business/finance/people/brand。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
frameworkYes
max_charsNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosure. It only says 'read', implying non-destructive behavior, but does not disclose return format, pagination, or restrictions beyond the allowed framework values. The behavioral transparency is 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 extremely concise: two short sentences, no filler. It is front-loaded with the core action and domain, and every word adds value.

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

Completeness2/5

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

With no output schema, no annotations, and a 3-parameter input, the description is incomplete. It does not explain return values, behavior nuances, or the roles of 'query' and 'max_chars', making it insufficient for confident correct invocation.

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?

Schema description coverage is 0%, so the description must compensate. It adds meaning for the 'framework' parameter by listing valid values, but provides no explanation for 'query' or 'max_chars', leaving two of three parameters semantically unclear.

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 clearly states the tool reads approved research framework excerpts, and lists the specific valid framework values (enterprise/business/finance/people/brand). This provides a specific verb+resource, though it does not explicitly differentiate from 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 the tool should be used when needing to read approved research framework excerpts, but does not provide explicit when-to-use or when-not-to-use guidance, nor mention alternatives among sibling tools.

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/mikeli20221102-ux/diyan-research-mcp'

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