List projects
list_projectsList the org's projects (id, name, kind, status, timestamps), newest first. A connection limited to some projects sees only those.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_projectsList the org's projects (id, name, kind, status, timestamps), newest first. A connection limited to some projects sees only those.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so safety is covered. The description adds genuinely new behavior: results are ordered newest-first and a connection limited to some projects only sees those — a scope constraint an agent would otherwise have to discover empirically.
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?
Two sentences, no filler. The resource and field list come first, with the visibility caveat as a short second sentence.
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?
With no output schema, the inline field enumeration (id, name, kind, status, timestamps) plus ordering does the work an output schema would. The remaining gap is pagination/result-limit behavior for a list endpoint that could return many projects.
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 tool takes zero parameters, so there is nothing to disambiguate and the baseline applies. The description instead spends its words on the response shape, which is the right use of space here.
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?
States a specific verb and resource ('List the org's projects') plus the returned fields and ordering (newest first). The plural list vs. the sibling get_project is inferable, but the description never explicitly contrasts them.
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?
Usage is only implied: an agent can infer it should call this to enumerate projects. There is no explicit when-to-use, no mention of get_project for a single project, and no guidance on scope or connection selection despite siblings like get_connection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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