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Umarjaum

io.github.Umarjaum/repo-memory-mcp

by Umarjaum

get_startup_context

Retrieve a prioritized list of critical rules, conventions, decisions, and recent corrections to quickly orient coding agents at startup.

Instructions

Return a concise startup context prioritizing critical and high-importance rules, conventions, decisions, and recent corrections.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It discloses that the result is concise and prioritized by critical/high-importance, which is useful, but it does not explain how prioritization works or clarify that the operation is purely read-only.

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 a single well-structured sentence that front-loads the action and the key prioritization behavior. There is no filler.

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?

Although an output schema exists, the description omits guidance on the limit parameter and on when to call this versus sibling retrieval tools. For a tool intended to shape startup behavior, this leaves important selection and invocation gaps.

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

Parameters1/5

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

The only parameter, limit, has no schema description (0% coverage) and the tool description does not mention it at all. The agent cannot tell what limit applies to or how it affects the returned context.

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 uses a specific verb ('Return') and identifies the resource ('startup context') plus its contents (rules, conventions, decisions, recent corrections). It is clear what the tool produces, though it does not explicitly distinguish it from recall_memory or list_memories.

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 phrase 'startup context' implies use at session start, but there is no explicit guidance on when to choose this over recall_memory, list_memories, or list_project_rules, and no exclusions or alternatives are mentioned.

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