register env tool

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

The description discloses a remarkable amount beyond annotations: update-by-name re-enabling, camelCase request vs snake_case response with no aliasing, exact error conditions (400/403/404), encrypted credential storage, omit-vs-clear authHeader behavior, registration-time-only host validation, DNS rebinding caveat, audit event writing, and the feature-flag gate. It does not contradict the annotations; the operation is a write, non-idempotent, non-destructive call.

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?

The description is dense and long, but every clause carries useful information: purpose, HTTP route, auth scope, response shape, error modes, prerequisites, and security caveats. It front-loads the core purpose before diving into details; a bulleted layout would improve scanability, but the current structure is well-ordered and free of filler.

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?

There is no output schema, yet the description supplies the 201 response object with field names, covers success and error paths, documents authorization and feature-flag requirements, explains updating vs creating, and flags the security limitation around DNS rebinding. For a registration tool with this many edge cases, nothing crucial is 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?

Since schema coverage is 100%, the baseline is 3, but the description adds meaningful cross-cutting semantics: the request/response casing mismatch, update defaults and re-enable behavior, authHeader clearing semantics, encrypted-storage failure mode, and host-validation limitations. These details go beyond the individual parameter descriptions and help an agent avoid common mistakes.

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 opens with a specific verb and resource: 'Registers (or updates, by name) an agent tool that training environments for this workspace are allowed to call.' It also captures the upsert nature ('or updates, by name') and the essential consent-granting purpose, making it clearly distinct from sibling operations like list_env_tools and delete_env_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?

The description makes the operational context explicit: it is the consent grant naming the HTTPS endpoint, credential, read-only flag, and call cap, with prerequisites such as OWNER/ADMIN minting user and the fineTuning feature flag. It does not explicitly name alternative tools or say when not to use it, but the sibling names and the 'Registers (or updates)' framing give an agent sufficient guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.