Skip to main content
Glama

compile_status

Read-only

Summarize compiled memory status: retrieve counts of compiled descriptions, code anchors, and stale entries. Optionally restrict to a project.

Instructions

Summarize compile mode: how many compiled descriptions, code anchors, and how many are stale.

Compiled memory is the build-invalidated half of the store: a grounded description of what code IS, stamped with its source SHA. Fresh = trust it without re-reading the code; stale = the source moved, recheck. Authored memory (the decaying half) is unaffected — both modes share this store.

Args: project: Restrict to a project. Defaults to MCP_PROJECT if set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNoRestrict to a project. Defaults to MCP_PROJECT if set.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful context about the behavioral semantics of compile mode (fresh vs stale, trustworthiness) and clarifies that authored memory is unaffected, which goes beyond the annotation hints.

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 concise and well-structured: a one-sentence summary followed by a clarifying paragraph and an Args section. Every sentence adds value without repetition or fluff.

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?

Given the tool's simplicity (one optional parameter, output schema present), the description covers the core functionality and semantics of the result (counts of compiled, code anchors, stale). It leaves no critical gaps, though it could optionally detail the output structure further.

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 single parameter 'project' is fully described in both the schema and the description's Args section with identical wording. Schema coverage is 100%, so the description adds no additional meaning beyond the schema. Baseline score of 3 applies.

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 explicitly states 'Summarize compile mode: how many compiled descriptions, code anchors, and how many are stale.' The verb 'summarize' is specific, and the resource 'compile mode' is clear. It naturally distinguishes from sibling tools like 'compile_setup' (setup) and 'compile_stale' (list stale).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description provides context about fresh vs stale and mentions that authored memory is unaffected, but it does not explicitly state when to use this tool versus alternatives (e.g., compile_stale). No exclusions or comparative guidance are given.

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/NicolasPrimeau/artel'

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