Knowledge Placement Planner
Server Details
Plan a knowledge-base placement path
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.2/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of ambiguity; the tool's purpose is clearly defined.
With a single tool, there are no naming inconsistencies to evaluate; the name follows a clear verb_noun pattern.
A single tool for a 'planner' seems too thin; it only suggests paths without any supporting actions like creating or managing workspaces, making the surface feel incomplete.
The tool only suggests workspace paths but lacks complementary tools to act on the suggestions or manage the workspace lifecycle, leaving obvious gaps for a planner.
Available Tools
1 toolsuggest_workspace_pathKnowledge Placement PlannerBInspect
Plans a workspace path for knowledge-base articles, project summaries, and implementation notes before publication.
| Name | Required | Description | Default |
|---|---|---|---|
| file_request | Yes | Description of the note, report, or knowledge-base article to place. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description states it plans a path but does not disclose whether it is read-only, what it returns, or any side effects. Insufficient behavioral context for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence of 15 words, directly states purpose. No wasted words; front-loads the action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has one simple parameter and no output schema, but the description does not explain what the tool returns or how the suggested path is used. Leaves critical information missing for the agent to act effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%; the parameter description adds meaning by specifying it expects a description of the content. However, the tool description already lists content types, so marginal added value beyond the schema. Baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states it plans a workspace path for specific types of content (knowledge-base articles, project summaries, implementation notes) before publication. Verb and resource are specific, and title reinforces purpose. No siblings to differentiate, but purpose is well-defined.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implies usage before publication, providing some context. No explicit when-to-use or when-not-to-use guidance, and no alternative tools mentioned. Adequate but minimal.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
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