get_project_meta
START HERE. Tiny overview: counts, members, task claims + working_now (avoid collisions), forge_workflow_version.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | No |
START HERE. Tiny overview: counts, members, task claims + working_now (avoid collisions), forge_workflow_version.
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark it readOnlyHint=true, and the description adds context about using working_now to avoid collisions. It also mentions forge_workflow_version, providing versioning context. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One short sentence with a clear 'START HERE' hook. Lists content compactly without padding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only tool with one parameter and no output schema, the description lists the key return elements (counts, members, task claims, working_now, forge_workflow_version) and the purpose (avoid collisions). It doesn't explain what the counts are counts of, but for a 'Tiny overview' it's reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The only parameter project_id is self-explanatory, but the description doesn't mention it at all. With 0% schema description coverage, the description should clarify parameter usage or requirements, but it doesn't. The schema also marks project_id as not required, which is ambiguous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description lacks an explicit verb+resource phrase like 'retrieves project metadata'; instead it says 'Tiny overview' and lists contents. It does specify concrete elements (counts, members, working_now), but the verb is implied rather than stated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'START HERE', signaling to use this tool first before others. Also mentions 'working_now (avoid collisions)', which hints at using this to check active tasks before claiming. No explicit alternatives, but the start-here directive is strong guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose, with explicit distinctions between direct actions and proposals via Inbox. The verbs and object types (system, milestone, screen, element, balance) are unique enough that no two tools appear to do the same thing.
Most tool names follow a consistent verb_noun snake_case pattern (get_system, propose_screen, update_element). Minor deviations like 'dedupe', 'search', 'next_task', and 'reorder' are single words or non-verb but remain readable and stylistically compatible.
With 54 tools, this server vastly exceeds the typical MCP scope, hitting the 'extreme mismatch' threshold. Even for a complex domain, the sheer number will overwhelm agents and degrade selection performance.
The tool surface is remarkably complete, covering full lifecycle operations for all major entities, plus import, design generation, drift detection, status reporting, inbox handling, and rejection workflows. No obvious dead ends or missing operations for the stated purpose.