data_fetching_standards

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

No annotations are provided, so the description carries the burden. It discloses the required/pre-emptive nature of the call and that it can return either all standards or a filtered subset, but says nothing about output format, size, or how filtering behaves when no match exists. For a low-risk read-only retrieval tool this is adequate but 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?

Front-loads the most important fact (REQUIRED TOOL, call before implementing) in the first clause. Three sentences with little waste, though 'data fetching standards and best practices' is slightly redundant and could be trimmed.

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 output schema and a simple two-parameter read tool, the description covers purpose, timing, and result scope sufficiently for correct invocation. Minor gaps remain around return shape and behavior when a filter matches nothing.

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%, so the schema already documents both 'pattern' and 'listPatterns' fully. The description's sentence about retrieving all standards or filtering by pattern only restates what the schema already says, adding no new syntax, format, or default guidance.

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 and resource (returns data fetching standards/best practices) and names the concrete content covered: rxResource, rxRequest, and HTTP patterns. This clearly distinguishes it from siblings like angular_component_standards and angular_forms_standards.

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?

Explicitly states when to call it: 'Must be called before implementing data fetching or HTTP requests in Angular.' That is a clear usage context, though it names no alternative tools or exclusions (e.g., what to use for non-Angular projects).

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