Skip to main content
Glama

approve_candidate

Approve a mined pattern to store it as a memory and optionally promote it to the hot cache for faster recall.

Instructions

Approve a mined pattern, storing it as a memory and optionally promoting to hot cache.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags to assign
pattern_idYesID of mined pattern to approve
memory_typeNoType to assignpattern

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description provides some behavioral info (storing and optional promotion) but does not disclose side effects, required permissions, or what happens to the original candidate. It is moderately transparent.

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 14-word sentence that captures the core functionality with no wasted words. It is front-loaded and efficient.

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?

Given the tool's complexity and the presence of an output schema, the description is adequate but assumes domain knowledge (e.g., what a mined pattern is). It could be more complete for users unfamiliar with the domain.

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 coverage is 100%, and the description adds no extra meaning beyond the schema. The description does not explain parameters or provide additional context, so it meets the baseline without improvement.

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 verb 'approve' and the resource 'mined pattern', and specifies the actions: storing as memory and optionally promoting to hot cache. This distinguishes it from sibling tools like reject_candidate or promote.

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 does not explicitly state when to use this tool versus alternatives. It lacks guidance on prerequisites or scenarios, though the tool name provides some implicit context.

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/michael-denyer/memory-mcp'

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