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spranab

Project Tracker MCP Server

by spranab

create_summary

Create a summary or note to track project decisions, important information, and AI-generated content in the Project Tracker. Add title, content, tags, and optional links to projects, epics, or stories.

Instructions

Create a new summary/note to track important information, decisions, or AI-generated content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags for categorizing and searching summaries
titleYesTitle of the summary
contentYesFull content of the summary
metadataNoAdditional metadata as key-value pairs
summary_typeNoType/category of the summarygeneral
related_entity_idNoUUID of related project, epic, or story (optional)
related_entity_typeNoType of related entity (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
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 behavioral burden. It does not state whether the summary is immediately searchable, who can read it, whether titles must be unique, or what happens to the optional related_entity link. 'Create' implies mutation but no mutation semantics (reversibility, permissions, side effects) are disclosed.

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?

A single compact sentence with the verb and resource front-loaded and no filler. It is efficient, though the trailing content examples are vague enough to be of limited value.

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 7-parameter tool with nested objects, enums, no output schema, and no annotations, the description is thin. It omits how the enum categories differ, how related_entity_id/type are used, and what the call returns, leaving real gaps an agent must guess at.

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 description coverage is 100%, so all seven parameters are already documented in the schema, making the baseline 3 appropriate. The description adds no extra meaning about summary_type values, tag matching behavior, or metadata handling beyond what the schema states.

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?

States a specific verb ('Create') and resource ('summary/note') and hints at intended content (decisions, AI-generated content). It does not differentiate from close siblings like create_context or create_status_update, which also capture free-form content, so an agent cannot fully disambiguate without opening schemas.

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?

There is no guidance on when to use this versus update_summary, create_context, or create_status_update, nor any prerequisite or deduplication advice. The clause 'to track important information, decisions, or AI-generated content' gestures at intent but is not a when-to-use rule.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.