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

No annotations are provided, so the description must carry the full behavioral burden. It does disclose that results are 'source-cited excerpts' and implies a read-only search operation. However, it does not mention whether the search is fuzzy or exact, how results are ordered, or any rate limits. Since the description adds some behavioral nuance (source-cited, grounding intent), a 3 is fair; it is not a harmful omission.

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 two sentences long, with the purpose front-loaded in the first sentence and the usage guidance in the second. Every word earns its place; there is no redundant phrasing or filler.

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 complexity (a knowledge-base search) and the absence of an output schema, the description is fairly complete for basic usage. It tells the agent what it searches and why to use it. However, it does not describe the format of the returned excerpts (e.g., list of strings, metadata) or specify whether the query should be a question or keywords. With no output schema, a bit more on return format could help, but the basics are covered. A 3 is reasonable.

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%, so the description must add meaning beyond the schema. The description mentions the query concept but does not elaborate on the 'topK' parameter (e.g., how many results are returned, default value, or its impact on results). The schema already defines topK as an integer 1-5, but the description adds no value for parameter semantics. Thus, a baseline 3 applies because the parameters are simple and self-explanatory.

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 a specific verb ('Search') and resource ('Relendi's curated commercial-real-estate knowledge base'), and specifies what it contains ('lending concepts, deal lifecycle, typical fees and timelines'). It also notes that results are 'source-cited excerpts', which distinguishes it from general Q&A tools like ask_cre_question.

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 explicitly says to use it 'to ground CRE answers rather than relying on memory', which provides clear guidance on when to use it. It implies that for general Q&A without needing grounding, one might use ask_cre_question, and the sibling list confirms alternatives, so the usage context is well-defined.

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