Skip to main content
Glama

get_global_gotchas

Retrieve cross-project gotchas to avoid repeating past mistakes when starting new features or using unfamiliar libraries.

Instructions

Query cross-project library gotchas from ~/.projectmem/global/.

Returns lessons learned in past projects that apply to the libraries
you're about to use. Call whenever working with an unfamiliar library
or starting a new feature.

Read-only. Reads from ~/.projectmem/global/ (cross-project memory,
not this repo's .projectmem/).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
libraryNoOptional library name to filter by (case-insensitive substring match — 'react' also matches 'react-router'). When omitted, returns all gotchas across every library — useful when starting a new feature to scan for any relevant past lessons.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. Clearly states read-only behavior and specifies the exact file path, distinguishing from local project memory.

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?

Three concise sentences covering purpose, usage, and behavior. No redundant or unnecessary text.

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?

Complete for a single-parameter tool with output schema. Covers all essential aspects: function, usage, parameter semantics, and read-only nature.

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?

Adds significant detail beyond schema: case-insensitive substring matching, behavior when omitted, and use case for scanning all gotchas. Schema coverage is 100%.

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 queries cross-project library gotchas from a specific file location. It distinguishes itself from sibling tools that focus on project-specific memory.

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?

Provides explicit guidance to call when working with unfamiliar libraries or starting new features. Lacks explicit when-not-to-use, but context is clear.

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/riponcm/projectmem'

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