integrations_syslog_get

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

No annotations are provided, so the description carries the full burden. It adds useful context: required 'View Alert Notification' permissions and the POST endpoint path. However, it does not disclose pagination, response structure, or potential errors. For a read-only list operation, the permission and endpoint info is helpful but insufficient for full behavioral transparency.

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 succinct and front-loaded with the core purpose. It includes a permission note, endpoint, and a concrete example in a compact format. The example adds a few lines but is relevant and doesn't feel like padding. Slightly less concise than a pure sentence but still efficient.

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 the tool's simplicity and the presence of a nested filters object, the description covers the key aspects: what the tool does, required permissions, endpoint, and example usage. There is no output schema, so the description does not detail the return value, but for a simple list operation, this is acceptable. However, a note about pagination or the response being a list of syslog servers would make it more complete.

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 schema description coverage at 100%, baseline is 3. The description adds value by providing an example request body showing how to use filters with the 'name' field, which clarifies the expected JSON structure beyond the bare schema. This practical example helps the agent construct valid inputs, earning a 4.

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 clearly states 'Get all or filtered syslog servers' and elaborates with 'Get a complete or filtered list of syslog servers.' This specifies the exact verb (get), resource (syslog servers), and scope (all or filtered), which also distinguishes it from sibling tools like integrations_syslog_create, integrations_syslog_update, and integrations_syslog_delete.

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 implies usage for reading syslog servers by saying 'Get all or filtered' and gives a permission requirement, but it does not explicitly mention when to use this tool versus the create/update/delete/test siblings. The contrast is implied by the verb 'get' but not directly stated, so some ambiguity remains about when to choose this over related tools.

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