get_simulation_messages

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

No annotations are provided, so the description carries the full burden and it discloses very little. It does not say what happens when severity is omitted, whether the result is truncated or paginated, whether it reads from a live or closed simulation session, or how messages are ordered.

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 front-loaded sentence with zero padding, and the key noun phrase comes before the qualifier. It is efficient, though its brevity is part of why behavioral detail is missing.

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-optional-parameter read tool with no output schema this is close to adequate, but the agent still cannot tell the default severity behavior, the message volume/shape, or how it differs from get_messages. Those gaps matter more here because there are no annotations to fall back on.

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 single optional parameter has an enum covering all/error/warning/info, so the value space is self-documenting in the schema, but schema description coverage is 0%. The description adds only that the value acts as a severity filter; it never states the default when the parameter is absent.

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 ('Get') and resource ('simulation log messages') plus the scoping dimension ('filtered by severity'), so the operation is unambiguous. It does not distinguish itself from the sibling get_messages, which likely returns non-simulation messages, leaving the agent to infer the boundary.

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?

There is no statement of when to use this versus the closely named sibling get_messages, nor any prerequisite (e.g., an open/launched simulation). The only usage signal is the implied 'filter by severity' from the description.

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