Compare OpenConstruction resources

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 does not disclose any operational behavior such as whether the comparison is side-by-side, whether it ranks resources, whether it requires a goal to produce a meaningful result, or how it handles heterogeneous types (e.g., comparing a dataset and a model). Since there is no annotation coverage, this shallow description leaves the agent uninformed about side effects, output nature, or constraints like the max of 8 resources.

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 extremely short (one sentence) and front-loads the primary verb and object, which is technically efficient. However, it is under-specified to the point of being vague. It earns a middle score because it is concise but not effectively structured for an agent: it omits critical use-case details that would take a few extra words to include.

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 that the tool has two parameters, one required, and no output schema, and that it likely involves a comparison of up to 8 heterogeneous resource types, the description is inadequate. It doesn't inform about the purpose of 'goal', the expected format of resources (type/id lookups?), the result shape (e.g., a report?, a set of pros/cons?), or any limitations. For a tool that is a sibling to a rich set of exploration tools, this is incomplete.

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 description only mentions 'two or more catalog resources' and 'a user goal' without explaining the semantics of the 'goal' parameter or the resource structure (type+id). The schema itself is sparse: 'goal' is just a string, and 'resources' requires type and id, but the description does not elaborate on what each field means for the comparison or how the goal influences the comparison. The agent has to guess what 'goal' should contain and what the comparison output will be, so the description fails to compensate for the poor schema coverage.

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 states a clear action ('Compare') and a generic resource target ('two or more catalog resources'), and mentions it is 'for a user goal,' which suggests the comparison is goal-driven. However, it does not distinguish itself from sibling tools like search_resources, get_resource, or find_datasets – any of which could be involved in comparing resources. The title 'Compare OpenConstruction resources' mostly restates the name, so the description adds only marginal clarity about what the comparison actually does (e.g., side-by-side attributes? differences? ranking?), which is not specified.

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 use this tool versus alternatives. The description does not mention that it can compare different types of resources, that it requires at least two resources, or how it relates to search_resources or get_resource. An agent reading this would not know if this is the right tool for comparing specific resources or if they should use other tools first to collect data. No exclusions or preferred-use context is provided.

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