Skip to main content
Glama
Thatgfsj

NeuroWeave Timeline

by Thatgfsj

get_project_story

Retrieve a concise project story summarizing key milestones, the most frequently changed file, and all decision events to track evolution clearly.

Instructions

Return a compressed project story.

The story contains: * project name and first/last event timestamps * up to max_milestones milestone events * the file that changed most often (the "spine file") * all decision events (those with a non-empty reason)

Returns: A dict mirroring the structure of :class:ProjectStory, plus a human-readable text rendering for direct LLM consumption.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_milestonesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the burden. It explains selection criteria (up to max_milestones, all decision events) and mentions the compressed nature. However, it does not disclose error conditions, performance implications, or authentication requirements.

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 well-organized with bullet points and a returns section. Every sentence adds value; no fluff. It is appropriately front-loaded with the core purpose.

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?

The tool has one parameter and an output schema (not shown but indicated). The description covers the return structure comprehensively, including a human-readable text field. It is mostly complete but could include when to use it or what the 'compressed' means in practice.

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

Parameters5/5

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

The description explicitly explains the sole parameter 'max_milestones' by stating it limits the number of milestone events in the story. This adds value beyond the schema, which only provides a default. Schema coverage is 0%, so the description fully compensates.

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 tool returns a 'compressed project story' and lists its contents (name, timestamps, milestones, spine file, decision events, human-readable text). It distinguishes from siblings like 'create_event' and 'explain_file' by focusing on retrieval of a summary.

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?

The description does not provide guidance on when to use this tool versus alternatives (e.g., search_history), nor does it mention prerequisites or exclusions. The context signals show no usage hints.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Thatgfsj/neuroweave-timeline'

If you have feedback or need assistance with the MCP directory API, please join our Discord server