list_projects
List projects accessible to this connection with stable IDs and dashboard links. Use this to choose a project.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List projects accessible to this connection with stable IDs and dashboard links. Use this to choose a project.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| 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 state readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: it lists only projects accessible to the connection and highlights stable IDs and dashboard links. That's moderate added value but no further behavioral caveats like pagination or ordering.
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 are entirely purposeful. The core verb is front-loaded, the customer-facing information ('stable IDs and dashboard links') appears before the usage hint—no redundancy or fluff.
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?
Given zero parameters, an output schema, and strong annotations, the description supplies what's needed: it enumerates what's returned and how to use it. It doesn't mention pagination or limits, but those would likely be in the output schema, so nothing critically missing.
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 and the schema is empty, so there is nothing for the description to clarify about parameters. This meets the baseline of 4 for a parameterless tool.
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 states a specific action ('List projects accessible to this connection') and adds value with 'stable IDs and dashboard links' and 'Use this to choose a project.' Though it doesn't explicitly name sibling tools like get_project_context, the listing verb and umbrella scope make it clear this is the project-enumeration tool.
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?
'Use this to choose a project' gives an explicit positive use case and a clear context for when the tool is appropriate. It doesn't name alternatives/exclusions, so it stops short of the top score, but the usage guidance is more than implied.
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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