manage_docs

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it only names the operations. Critical mutation traits are absent: write appends rather than overwrites, edits without tabId target the FIRST tab while replaceText spans every tab, character indices are per-tab, and an email is required for authentication. These nuances exist in the schema's parameter text, not in the tool description, so the agent gets no behavioral warning before invoking.

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?

A 12-word single sentence with no wasted words, and the verb list is front-loaded so the agent immediately knows the operation families. However, the brevity veers toward under-specification; it reads as a tagline rather than a specification, which is acceptable for conciseness but shifts substance burdens to other dimensions.

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?

This is a five-operation, 10-parameter, mutation-heavy tool with no annotations and no output schema, yet it gets only a one-line summary. The schema compensates with detailed operation and parameter text, but the tool-level description still omits what get returns, create's default behaviors, per-tab indexing pitfalls, and auth expectations. Not complete enough for an agent to select and call it correctly without deep schema parsing.

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 coverage is 100% with strong per-parameter descriptions (tabId explains first-tab targeting, operation explains each enum value, text explains append vs insert semantics), so the baseline of 3 applies. The tool description itself adds zero parameter meaning, but the schema carries the load thoroughly, so no penalty beyond baseline is warranted.

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 specific verbs (read, write, insert, find-replace) and a concrete resource (Google Docs documents), making the tool's domain unmistakable and distinct from siblings like manage_sheets or manage_tasks. It does not differentiate at the operation level, but the operation enum in the schema fills that role. The one-line headline is accurate, if minimal.

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?

Nowhere does the description say when to choose manage_docs over siblings such as manage_drive or manage_sheets, nor does it give selection criteria among the five internal operations. The schema's operation descriptions explain mechanics (append, insert, replace) but offer no when-to-use or when-not-to-use guidance. An agent must infer the intended use case.

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