Skip to main content
Glama
Sign In
prompts.chat MCP Server

prompts.chat MCP Server

by f
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Hybrid

Search Prompts

search_prompts

Search AI prompts by keyword, type, category, or tag to find community-curated prompts for AI coding assistants.

Instructions

Search for AI prompts by keyword. Returns matching prompts with title, description, content, author, category, and tags.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "search_prompts"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYesSearch query to find relevant prompts
limitNoMaximum number of prompts to return (default 10, max 50)
typeNoFilter by prompt type
categoryNoFilter by category slug
tagNoFilter by tag slug

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the return fields but doesn't cover critical aspects like pagination, rate limits, authentication needs, error handling, or whether results are sorted. This leaves significant gaps for a search tool.

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 a single, efficient sentence that front-loads the purpose and key return information. Every word earns its place with no redundancy or fluff, making it easy to parse quickly.

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 the complexity of a search tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't address behavioral traits, usage context, or output structure beyond listing return fields, leaving the agent with insufficient guidance for effective tool selection.

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 fully documents all 5 parameters. The description adds no additional parameter semantics beyond what's in the schema, such as search behavior or filter interactions. Baseline 3 is appropriate when schema does the heavy lifting.

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 verb ('Search for') and resource ('AI prompts'), specifying the action and target. It distinguishes from the sibling 'get_prompt' by implying this is a search/filter operation rather than a direct retrieval, though it doesn't explicitly contrast them.

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?

The description provides no guidance on when to use this tool versus the sibling 'get_prompt' or other alternatives. It lacks context about prerequisites, exclusions, or specific scenarios where this search is preferred over direct retrieval.

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

Deploy Server

Other Tools