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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered; the description adds real context beyond that by disclosing the mandatory two-step prerequisite chain and the requirement to follow the schema exactly. It does not cover error behavior or rate limits, but the output schema handles return shape.

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 workflow position and reasonably short, but the "IMPORTANT: Always call step 2" sentence largely restates requirement 2 already listed above it, so a non-trivial share of the text is redundant. The nested parenthetical "(Step 3 (FINAL) of workflow)" is also awkward.

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?

An output schema exists, so return values need no explanation, and the prerequisite routing is well covered. But for an open-world tool whose only parameter is an opaque free-form object, the description gives no sense of which data categories are queryable or any example body, leaving the agent dependent entirely on another tool.

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 single `body` parameter is an untyped object with additionalProperties=true and 0% schema coverage, so the schema explains nothing. The description partially compensates by telling the agent to derive the body from query_contexts step 2 ("see the exact body structure"), which is genuinely more useful than the schema. However, it provides no field names, example body, or validation rules of its own.

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 states a verb and a resource ("Query Telegram data") but the resource is generic and the emphasis is on workflow position ("Step 3 (FINAL) of workflow") rather than on what the tool actually returns or what kinds of Telegram data it covers. It never distinguishes this from the sibling execute_action, which an agent could plausibly pick instead. Purpose is inferable but vague.

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?

Explicit, ordered prerequisites: call query_contexts with request='accounts' then request='actions_details' before this tool, plus a stated imperative ("Always call step 2"). That is unusually concrete when-to-use guidance. It stops short of 5 because it never says when NOT to use this tool or when execute_action is the better choice.

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