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picsha-ai

Picsha AI MCP Server

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by picsha-ai

summarize_asset

Summarize any document on demand by submitting its asset ID. AI generates a concise summary for quick understanding.

Instructions

Utilize Claude Sonnet via Amazon Bedrock to summarize documents on demand

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe unique ID of the asset (document/text) to summarize
Behavior2/5

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

No annotations exist, so the description must disclose behavioral traits. It fails to mention whether the tool is read-only, if it modifies the asset, any rate limits, cost implications, or content safety considerations. The phrase 'on demand' gives minimal insight.

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, well-structured sentence that front-loads the main purpose. It is concise, but could include more detail without becoming verbose.

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 tool that invokes an external AI model with one parameter and no output schema, the description is incomplete. It does not specify the output format, how to retrieve the summary, or any limitations of the summarization (e.g., length, style).

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 clear parameter description ('The unique ID of the asset (document/text) to summarize'). The tool description adds no additional meaning beyond the schema, achieving baseline adequacy.

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 (summarize documents) and the resource (assets), using specific technology (Claude Sonnet via Amazon Bedrock). It distinguishes from all sibling tools, none of which offer summarization functionality.

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?

No guidance is provided on when to use this tool vs alternatives, when not to use it, or any prerequisites. The description is purely declarative without contextual usage advice.

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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