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

With no annotations, the description does real work: it discloses the data sources (online+offline brand data, free map POI/road data) and the output dimensions, which partly substitutes for the missing output schema. However, it says nothing about prerequisites (does the caller need to supply a brand, city, or candidate sites?), latency, or failure modes of the map lookups.

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?

It is a single compact sentence with no filler, and the core action leads. But it chains three distinct operations (model reverse-engineering, map data fetch, scoring output) into one run-on clause, and 'reverse-engineers' is opaque phrasing that slows parsing.

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 multi-step analytical tool with no annotations and no output schema, naming the produced metrics is genuinely helpful and partially fills the gap. What is missing is the input contract—what the agent must know or supply for a meaningful run—which is the main risk given a single optional free-text parameter.

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?

Only one optional parameter exists and its schema description ('Optional user query to scope the brief') already covers it at 100%. The main description adds no syntax, expected content, or example of what scoping a brief actually means, so the baseline of 3 applies.

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 names a concrete subject (a brand's store model and site evaluation) and concrete deliverables (payback, break-even, priority ranking, franchise-fit rating), so an agent can tell this is a site-selection/feasibility analysis tool. It never distinguishes itself from near-identical siblings such as fnb-site-selector or sanhao-store-site-selector, so the boundary is left to guesswork.

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 statement of when to invoke this tool versus the many adjacent options (fnb-site-selector, store-area-insight, fnb-break-even-tool, store-opening-checklist). No preconditions, no exclusions, and no hint of what the single optional query should contain are given.

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