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WebRTCGame

SQLite Project Memory MCP

by WebRTCGame

render_markdown_views

Generate human-readable markdown views from SQLite project memory data when explicitly requested, converting structured database information into accessible documentation.

Instructions

Render markdown document views only after an explicit user request for a human-readable artifact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
view_namesNo
user_requestedNo
request_reasonNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions rendering for human-readable output but doesn't disclose behavioral traits like whether it's read-only, destructive, requires permissions, rate limits, or what the output looks like. For a tool with 3 parameters and no annotation coverage, this is a significant gap.

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, well-structured sentence that efficiently conveys the core purpose and usage condition. It's front-loaded with the main action and includes no unnecessary information, making it highly concise.

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 3 parameters with 0% schema coverage, no annotations, but an output schema exists, the description is incomplete. It covers usage guidelines well but lacks parameter semantics and behavioral details. The output schema mitigates some gaps, but overall it's only minimally adequate.

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?

Schema description coverage is 0%, so the schema provides no parameter details. The description doesn't mention any parameters or their meanings, failing to compensate for the lack of schema documentation. With 3 undocumented parameters, this is inadequate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Render') and resource ('markdown document views'), specifying it's for 'human-readable artifact' creation. However, it doesn't distinguish this tool from 'export_markdown_views' or 'list_views' among siblings, missing explicit differentiation.

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?

The description explicitly states when to use this tool: 'only after an explicit user request for a human-readable artifact.' This provides clear context and a prerequisite, guiding the agent to invoke it only when specifically requested by the user.

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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