Skip to main content
Glama

reject_candidate

Discard a mined pattern by its ID to stop it from becoming a permanent memory entry.

Instructions

Reject a mined pattern, removing it from candidates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pattern_idYesID of mined pattern to reject

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full responsibility. It mentions 'rejecting' and 'removing', implying a destructive action, but does not disclose whether the action is reversible, what permissions are required, or any side effects on related data.

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

Conciseness4/5

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

The description is a single clear sentence with no wasted words. It is extremely concise, though it could benefit from slightly more detail without becoming verbose.

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?

For a simple tool with one parameter and an output schema, the description covers the basic functionality. However, it lacks explanation of what 'reject' means in terms of state transitions and how it differs from other removal tools.

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% with a single parameter 'pattern_id' described as 'ID of mined pattern to reject'. The description adds no additional meaning beyond the schema, so baseline 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 action ('Reject'), the resource ('a mined pattern'), and the effect ('removing it from candidates'). It distinguishes itself from siblings like 'approve_candidate' and 'bulk_reject_candidates' by specifying the individual rejection of a single pattern.

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 usage guidance, such as when to use this tool instead of 'bulk_reject_candidates' or 'forget'. It lacks context on prerequisites, such as requiring the pattern to be in a 'candidate' state.

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