accelo_count_segmentations

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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only count, but discloses nothing about the filter format, whether unfiltered calls return a global count, or what the response contains. For a tool with zero annotation coverage this is thin.

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 short, front-loaded sentence with no filler, which satisfies conciseness. However, given the undocumented filter parameter, brevity here reads as under-specification rather than efficient editing.

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?

With no annotations, no output schema, and a fully undocumented free-form filters object, the description omits everything an agent would need to invoke this correctly beyond the tool's general intent.

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 0% and the single 'filters' parameter is an unconstrained anyOf object/null. The description only restates the parameter name ('matching the given filters') without adding accepted keys, format, or constraints, so it does not compensate for the coverage gap.

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?

Clear verb (count) plus resource (segmentations), which distinguishes it from the sibling list_segmentations, get_segmentation and other count_* tools by its counting semantics. It does not, however, explicitly differentiate itself from accelo_list_segmentations or explain the distinction between a count and a list.

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 gives no when-to-use guidance, no indication that this is preferable to list_segmentations when only the total is needed, and no prerequisites. 'Matching the given filters' implies filtering but never states which filters exist or whether they are optional.

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