Skip to main content
Glama
Radics

Context Forge

by Radics

record_fact

Record a verified project fact with supporting evidence and confidence level, preserving accurate context for future AI sessions.

Instructions

Record a project fact with evidence and confidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
factYes
projectYes
evidenceYes
confidenceYes
recorded_byNo
Behavior2/5

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

Annotations indicate non-read-only and non-destructive, but the description adds no further behavioral context such as duplication handling, overwrite behavior, or side effects. It merely restates the action implied by the name.

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 single sentence is concise and front-loaded, with no wasted words. However, it is minimal to the point of under-specification, so it does not fully earn a perfect score.

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?

For a 5-parameter mutation tool with no output schema and sparse annotations, the description is inadequate. It omits return behavior, side effects, and parameter usage details, leaving significant gaps for an agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 5 parameters and 0% schema description coverage, the description must compensate. It mentions fact, evidence, and confidence but omits recorded_by and gives no additional semantics for evidence format or confidence meaning. The schema provides types/constraints, but the description fails to bridge the coverage gap.

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 uses a specific verb 'record' and resource 'project fact', clearly distinguishing it from sibling tools like get_context and write_handoff. It conveys a focused write operation with relevant parameters.

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 gives no guidance on when to use this tool versus alternatives. Sibling write_handoff could overlap, but no distinction or context is provided, leaving the agent without decision criteria.

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/Radics/context-forge'

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