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

With no annotations provided, the description carries the full burden. It discloses that the dataset is open under CC BY 4.0, free to reuse with attribution, and requires no API key – important behavioral details. It also indicates the data is a 'live snapshot.' While it does not discuss rate limits or response format, the essential operational constraints are covered.

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 three concise sentences with no filler. It front-loads the core function and data, then adds licensing and usage context. Every sentence contributes value, making it highly efficient.

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 simple tool with one optional parameter and no output schema, the description is complete. It specifies what data is returned (niche, counts, reach metrics) and the usage context. The licensing and API requirements are also covered, leaving no critical gaps for an agent to call it correctly.

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 schema covers 100% of the single parameter with a description that explains its purpose and default value. The tool description adds no additional meaning beyond the schema, so the baseline score of 3 is appropriate.

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's function: it provides a live snapshot of Russian-language Telegram communities grouped by niche, with specific metrics (number of communities, subscriber reach, average reach). This is a specific verb-resource combination and distinguishes itself from sibling tools that deal with tasks and services.

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 positions the tool for 'media planning questions' and 'any claim about the size of Telegram niches,' giving clear context on when to use it. It does not explicitly mention alternatives, but the sibling tools are clearly unrelated, so the usage context is sufficient without exclusion statements.

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