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Productive Simple MCP

Productive Simple MCP

by druellan
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

get_page

Read-only

Retrieve a specific page's full content by its ID, returning the body as readable HTML. Use when you need the complete page content instead of just metadata.

Instructions

Get a specific page/document by ID, including full content body.

Use this when: You need the full content body of a specific page (not just metadata or titles).

Returns the page body as readable HTML in body_html.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "page_id": "<page_id>"
    },
    "name": "get_page"
  }
}

Input Schema

NameRequiredDescriptionDefault
page_idYesThe unique Productive page identifier

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.2.0
    • addedInput schema / additionalProperties
      Added value: +false
  2. Addedv1.0.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds useful behavioral context by specifying that the page body is returned as readable HTML in body_html. This goes beyond the structured annotation without contradicting it.

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 compact and front-loaded: purpose first, usage condition second, return format third. Every sentence serves a distinct function and there is no unnecessary wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only lookup tool with one fully documented parameter and an output schema, the description covers purpose, usage, and return behavior. Nothing essential is missing for an agent to invoke 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?

The schema fully documents page_id as 'The unique Productive page identifier' with 100% coverage, so the description does not need to add much. It does not introduce additional parameter meaning beyond what the schema already provides, matching the baseline.

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 ('Get') with a clear resource ('specific page/document by ID') and distinguishes itself by emphasizing 'full content body' versus metadata or titles. This makes it easy for an agent to tell it apart from list_pages and other 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 Guidelines4/5

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

The description explicitly states when to use it: when the full content body of a specific page is needed, and clarifies that it is not for metadata or titles. It does not name specific alternative tools or provide explicit exclusions, but the usage context is clear.

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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