Skip to main content
Glama

veto_memory_search

Search the local knowledge base at the start of tasks to retrieve prior solutions, patterns, or errors, avoiding re-solving from scratch.

Instructions

Searches the local knowledge base for entries matching a query. Call at the start of every task to find prior solutions before solving from scratch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by entry type.
limitNoMax results to return (default 10, max 50).
queryNoSearch terms (full-text search on title and content).
project_dirNoFilter to a specific project directory.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the basic operation without disclosing any additional behavioral traits such as error handling, performance, or what happens with no results.

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?

Two concise sentences that are front-loaded with the purpose and usage guidance. No wasted words.

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?

The description lacks details about the return format or output schema. While it gives a clear purpose, it is not fully complete for a search tool that might require understanding of result structure.

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?

The input schema has 100% coverage with descriptions for all 4 parameters. The description does not add extra meaning beyond the schema, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches the local knowledge base for entries matching a query, specifying the verb 'Searches' and the resource 'local knowledge base'. It also gives a usage hint, distinguishing it from sibling tools like veto_memory_store.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises to call at the start of every task to find prior solutions, providing clear context for when to use this tool. It does not mention when not to use or alternatives, but the guidance is strong.

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/jigyasudham/veto'

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