chain_alio_benchmark

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

With no annotations provided, the description carries the full burden of disclosure. It lists the three components (profile, topic matching, gap analysis) but does not reveal behavioral traits such as whether the tool is read-only, what output format to expect, any authorization requirements, or potential side effects. The chain nature implies multiple sub-calls, but this is not explained.

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 a single, information-dense sentence that immediately states the tool's function and typical use case. It avoids redundancy and is efficiently front-loaded with the tool name and core purpose.

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 complexity (combining multiple analyses) and the absence of an output schema, the description is insufficient. It does not explain what the output looks like, how results are structured, or how each section (profile, topic matching, gap analysis) is presented. An agent would lack guidance on how to interpret the results.

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 input schema covers all 4 parameters with descriptions (100% coverage), so the schema already handles parameter meaning. The description adds no additional semantics beyond implying the topic parameter relates to 'topic matching regulations'. Baseline of 3 is appropriate since the schema is complete.

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 the tool performs comprehensive benchmarking of one institution, combining profile, topic matching regulations, and peer institution gap analysis. It specifies the purpose as a starting point for assessing an institution on a given aspect, which is distinct from individual sibling tools that focus on single tasks.

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 when one wants to benchmark an institution on a topic ('우리 기관 ○○ 측면 어떤가?'), positioning it as a starting point. However, it does not explicitly state when not to use it or mention alternative tools, such as get_alio_institution_profile for profiles alone or find_similar_regulations for regulation matching.

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