Skip to main content
Glama

invalidate_decision

Mark decisions as invalid to exclude them from active queries while preserving historical records. Use when decisions are superseded or reversed in the trace-mcp server's knowledge graph.

Instructions

Mark a decision as no longer valid. The decision remains in the knowledge graph for historical queries but is excluded from active queries. Use when a decision is superseded or reversed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDecision ID to invalidate
valid_untilNoISO timestamp when decision became invalid (default: now)
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by explaining the behavioral effect ('The decision remains in the knowledge graph for historical queries but is excluded from active queries'), which clarifies the mutation's impact. However, it lacks details on permissions, error handling, or response format, leaving some gaps.

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 front-loaded with the core action, followed by behavioral details and usage guidance in two efficient sentences, with no wasted words or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations and no output schema, the description is reasonably complete—it explains the purpose, behavior, and usage context. However, it could improve by mentioning potential side effects or response details, given the lack of structured output information.

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 both parameters ('id' and 'valid_until') fully. The description does not add any additional meaning or context beyond what the schema provides, meeting the baseline for high coverage.

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 specific action ('Mark a decision as no longer valid') and the resource ('decision'), distinguishing it from sibling tools like 'add_decision' or 'query_decisions' by focusing on invalidation rather than creation or querying.

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

Usage Guidelines5/5

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

It explicitly states when to use this tool ('Use when a decision is superseded or reversed'), providing clear context for its application without needing to list all alternatives, as the purpose already differentiates it from siblings.

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/nikolai-vysotskyi/trace-mcp'

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