studio_environment_read
Read one studio_environment by id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The studio_environment id. |
Read one studio_environment by id.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The studio_environment id. |
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 the safety profile is fully covered elsewhere. The description itself contributes nothing beyond the word 'one' – no note on what is returned, whether missing ids error or return null, or any auth requirement.
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?
A single short sentence with the key constraint front-loaded and zero padding. It is efficient, if slightly under-informative rather than verbose.
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 one-parameter read with rich annotations and no output schema, this is minimally sufficient to invoke correctly. It does not explain what a studio_environment is or how a lookup miss behaves, which an agent would still have to discover empirically.
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?
With 100% schema description coverage and a single documented id parameter, the schema carries all parameter meaning. 'by id' restates the schema rather than adding format or lookup semantics, so baseline 3 applies.
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?
Specific verb (Read) plus resource (studio_environment) with a scope qualifier (one by id). It clearly contrasts with studio_environment_list/create/update/delete by implication, though it never names a sibling.
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?
No when-to-use or when-not-to-use guidance. The agent must infer that this is for fetching a single known entity rather than enumerating, and nothing steers it away from studio_environment_list or the update/create variants.
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.