Skip to main content
Glama
GreyNoise-Intelligence

greynoise-mcp-server

Official

search-tags

Search GreyNoise tags using filters like text, category, intention, or associated CVE to identify relevant threat intelligence tags.

Instructions

Search GreyNoise Tags by various criteria

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional text to search in name, description, etc.
categoryNoFilter by category (e.g., 'activity')
intentionNoFilter by intention (e.g., 'malicious', 'benign')
cveNoFilter by associated CVE identifier
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only indicates a read operation ('Search') but omits details like pagination, rate limits, result ordering, or behavior when criteria are omitted. This is insufficient for an agent to understand the tool's 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?

A single concise sentence that directly states the tool's purpose. No unnecessary words, and the structure is front-loaded with the key action and resource.

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 4 parameters, no output schema, and no annotations, the description is too brief. It fails to specify what the response contains, any limits on results, or how criteria combine. This leaves significant gaps for effective tool use.

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 description coverage is 100%, so the schema already documents each parameter. The description adds no extra meaning beyond summarizing that search is by 'various criteria', which offers little benefit. Baseline score 3 is appropriate.

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 uses the verb 'search' and identifies the resource 'GreyNoise Tags', and mentions 'various criteria' suggesting filtering. However, it does not distinguish itself from similar sibling tools like 'get-tag-list' or 'get-tag-details', which could also be used for different tag retrieval purposes.

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 such as 'get-tag-list' or 'get-tag-details'. There are no exclusions or context about prerequisites, making it unclear when this search is preferred.

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/GreyNoise-Intelligence/greynoise-mcp-server'

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