Company Profile

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

There are no annotations, so the description carries the behavioral disclosure burden. It is transparent about the kind of data returned and the market scope, but it does not mention whether the data is point-in-time, how missing or invalid codes are handled, or whether the operation is strictly read-only. These are not severe gaps for a profile-lookup tool, but they prevent a higher score.

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 first sentence is front-loaded and gives the essential information immediately. The second sentence adds value by explaining what the fundamentals mean in practical terms, and the third reinforces the DSE-only restriction. There is minor redundancy, but the description remains compact and readable.

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?

For a tool with one required string parameter and an existing output schema, the description provides sufficient context: it defines the domain, the kind of data returned, and the restriction to DSE-listed companies. It omits an example code or explicit statements about lookup behavior, but those are minor given the tool's simplicity and the presence of an output schema.

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 has one parameter, 'code', with no description and 0% schema coverage. The description indirectly identifies it as the identifier for a DSE-listed company, which provides some semantic grounding. However, it does not explicitly state that 'code' is the DSE trading code or give an example, so the agent must infer the expected format.

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 provides fundamentals for one DSE-listed company and lists the specific fields: sector, market cap, P/E, and capital. It also distinguishes itself from price-focused tools by saying it supplies 'the context a price alone cannot give you,' and the phrase 'DSE-listed companies only' defines the target resource. Despite lacking an explicit verb, the intent is unambiguous.

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 clear contextual guidance: use this when you need fundamental context beyond price, and only for DSE-listed companies. It implicitly contrasts with price-only tools and includes an exclusion ('DSE-listed companies only'). However, it does not explicitly name sibling alternatives like get_stock or search_stock, nor does it state when not to use this tool for price data.

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