Skip to main content
Glama

build_research_pack

Combine official documentation with external web research into a local pack for any topic. Specify topic, optional URL, and page limit to generate a consolidated resource.

Instructions

Build a local pack with official docs plus external research.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
official_urlNo
max_research_pagesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden. It mentions building a pack but fails to disclose side effects (e.g., file creation, network calls), scope of 'local', or safety profile. This is insufficient for an agent to understand behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise. However, it is under-specified and omits important details, making it less efficient than a more informative version.

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?

Given 3 parameters (1 required) and an output schema, the description is too sparse. It doesn't explain what a 'pack' is, how results are structured, or how the tool interacts with the system. Minimal completeness for agent decision-making.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no meaning beyond raw parameter names. 'topic', 'official_url', and 'max_research_pages' are not explained, leaving an agent to infer semantics from the tool name and brief description.

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 builds a local pack using official docs and external research. It specifies a verb ('Build') and resource ('local pack'), distinguishing it from siblings like search_web or extract_content, though it doesn't explicitly differentiate.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or context for usage.

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/Khamel83/argus'

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