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

No annotations are provided, so the description carries the full burden. It discloses that this is a read-only estimator and spells out what is produced (memory breakdown, recommended GPU configuration, vLLM/Ollama launch commands). For a pure computation tool with no side effects, this covers the relevant behavioral surface, though it says nothing about determinism or limits.

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-loaded with the verb and resource, then inputs, outputs, and usage in three tight sentences. The inputs list partially duplicates the schema, which is a minor redundancy, but nothing is padded and the structure is easy to scan.

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, the description correctly explains the return shape (breakdown, GPU recommendation, launch commands). For a stateless calculator with fully covered parameters, an agent has everything needed to invoke it and interpret 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?

Schema description coverage is 100%, so the schema already documents all seven parameters and their defaults/enums; baseline is 3. The description restates five of them (params, precision, context length, batch size, KV precision) but omits tensorParallel and locale, adding no syntax or format detail beyond the schema.

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 (Estimate) and resource (GPU VRAM in GB) with the exact scope: serving a large language model. It is immediately distinguishable from every sibling tool, none of which touch GPU memory estimation.

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 names the triggering situations: 'when a user asks how much GPU memory a model needs or which GPU to buy/rent.' That is a clear usage context. It does not name a when-not or an alternative, but no competing sibling exists, so the only missing piece is theoretical.

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