Syslog Stats Tool

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

Annotations already declare readOnlyHint=true, so the safety profile is covered by structured data. The description adds that results are broken down per source with an error rate, but says nothing about cost, limits, or how 'error rate' is computed — acceptable but thin given the annotations do most of the work.

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 front-loaded sentence with no filler or redundancy. Nothing in it fails to earn its place.

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?

An output schema and full parameter documentation exist, so return values and inputs are covered elsewhere. What the description omits is the routing information an agent needs to choose this aggregation tool over its five siblings — the only substantive gap for a zero-required-parameter read tool.

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?

Schema description coverage is 100% and each parameter (top, since, source) is documented with defaults and formats, so the description need not repeat them. It adds no meaning beyond the schema, which is exactly the baseline case.

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 ('Summarise') and a specific resource ('log volume and error rate per source'), so the agent knows it produces an aggregate statistical view rather than raw entries. It does not, however, contrast itself with siblings such as syslog_sources_tool, which also deals with sources and could be mistaken for this aggregation.

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 guidance on when to reach for this tool versus syslog_search_tool, syslog_grep_tool or syslog_sources_tool, and no mention of preconditions or typical follow-up. Usage is only inferable from the word 'Summarise'.

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