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Stillleaf: Memorial program correction, printing and delivery

About Stillleaf

describe_business
Read-onlyIdempotent

What Stillleaf does (Memorial program correction, printing and delivery: Send your existing program and exact changes. Stillleaf organizes correction, proof review, printing, finishing and local delivery, with a completion plan and pricing for review.), what happens to a request, what you receive, its scope, and the request fields with examples.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already establish that this is a safe, read-only, idempotent, non-destructive, closed-world operation. The description adds what topics the response covers but does not describe output format, length, or whether the content is static reference material versus dynamic business data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but poorly structured as a single run-on sentence with an oversized parenthetical that interleaves business marketing copy with content coverage. It is understandable but not front-loaded or easy to scan.

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 zero-parameter, read-only informational tool with no output schema, the description covers the relevant scope: business description, request handling, deliverables, and request fields with examples. It lacks explicit guidance on when to invoke it, but the content coverage is sufficient for the tool's complexity.

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

Parameters4/5

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

The tool has zero parameters, so there is no parameter semantics to compensate for. The description does not confuse this by implying inputs; it correctly frames the request fields as returned reference content rather than arguments.

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 enumerates the informational content the tool provides: business operations, request lifecycle, deliverables, scope, and request fields with examples. An agent can infer this is an informational overview tool, though it does not explicitly start with a verb like 'Returns' or differentiate itself from the operational sibling tools.

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

Usage Guidelines3/5

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

Usage is only implied: an agent may infer this is useful for orientation before submitting a request, since it mentions request fields and examples. However, there is no explicit when-to-use guidance, no exclusions, and no mention of alternatives such as submit_request or request_status.

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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