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Delivery schedule document

delivery_schedule_document

Render one schedule as a plain-text document for the client: every deliverable with its due date, status, delivered and accepted dates and value, the counts as at a date, and a sign-off block. Pro.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
as_ofNoRead the schedule as at this date, YYYY-MM-DD. Defaults to today
scheduleYesThe schedule id, e.g. DS-2026-0001, the reference it delivers, e.g. WO-2026-0001, or its title

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It implies a read-only operation via 'render' and describes the document contents, but it does not disclose whether any permissions are required, how the document is returned (string vs file), or any error behavior. It does not contradict annotations (none exist), but it leaves some behavioral aspects unstated.

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 sentence that front-loads the action and resource, then lists the document contents efficiently. It is concise and avoids fluff, though the trailing 'Pro.' appears to be an artifact or placeholder, which slightly detracts from professionalism but does not obscure meaning.

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 simple render tool with full schema coverage and no output schema, the description adequately explains what the document contains and the return type ('plain-text document'). It lacks details like return format (string vs file) or potential errors, but these are minor for a straightforward read operation. It is sufficiently complete for an agent to call it correctly.

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%, so both parameters are already documented. The description adds minimal semantic value beyond the schema—it mentions 'as at a date' which maps to as_of, and 'counts as at a date' reinforces that, but it does not provide additional formatting or constraints. The baseline of 3 applies because the schema does the heavy lifting.

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 ('Render') and resource ('one schedule') and clearly states the output type ('plain-text document for the client'). It enumerates the content (deliverables, due dates, status, counts, sign-off block), which distinguishes it from sibling tools like delivery_schedule_get that likely return structured data. The purpose is unambiguous.

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?

The description implies a use case ('for the client') but does not explicitly state when to use this over sibling tools or any exclusions. There is no mention of alternatives or conditions, leaving the agent to infer from the 'plain-text document' wording. It is not misleading, but it offers no direct guidance.

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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