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

The description goes beyond the annotations by disclosing that the text leaves the system to an external website (consistent with openWorldHint=true and readOnlyHint=false), that a validated integration is required, and that results do not certify authorship. That is meaningful behavioral context the structured fields do not carry.

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?

Two tightly packed sentences with no waste; the action and its output are front-loaded before the caveats. Efficient without omitting critical warnings.

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 usefully characterizes the return ('resultado literal y fragmentos señalados') and states the integration prerequisite and non-certification limit. Complete enough to call the tool correctly, though sibling differentiation is absent.

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?

There is a single self-evident 'text' parameter with 0% schema description coverage. The description adds one semantic note ('texto autorizado', i.e., authorization constraint) but no format or length guidance, so it only marginally compensates for the schema gap.

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 concrete verb+resource: it sends authorized text to QuillBot's web and returns the literal result plus flagged fragments. An agent can tell what the tool produces. It does not, however, distinguish itself from quillbot_inspect or quillbot_status, so sibling routing stays ambiguous.

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?

A prerequisite is given ('Requiere integración validada'), which is genuine usage context, and 'No certifica autoría' acts as a scope caveat. But there is no when-to-use vs when-to-use-an-alternative guidance relative to the sibling tools.

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

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

Annotations declare readOnlyHint=false, destructiveHint=false, and openWorldHint=true. The description adds that the tool returns a suggestion and does not modify documents, which is useful context. Yet it doesn't clarify why readOnlyHint is false despite no mutation, nor does it describe external API/auth or latency behavior for an open-world call.

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?

Two concise sentences are front-loaded: the first states the action, the second clarifies the non-mutating, suggestion-only behavior. There is no unnecessary detail.

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 single-parameter tool with no output schema, the description covers the high-level purpose and clarifies non-mutation. However, it omits important details about the input text constraints and the nature of the returned suggestion, and does not resolve the mismatch with readOnlyHint=false.

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 has one required parameter 'text' with 0% description coverage. The description only vaguely mentions 'fragmento autorizado' and does not explain constraints like max length 30000, allowed content, or format, leaving the parameter under-specified.

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 specific verb and resource: it requests a writing suggestion from QuillBot for an authorized fragment. It distinguishes the tool from siblings like quillbot_detect or quillbot_status by focusing on proposing a rewrite.

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?

It implies usage context ('fragmento autorizado') and clarifies that the result is a suggestion for review, not document modification. However, it does not explicitly compare with alternatives such as quillbot_detect or state when not to use it.

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

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

Annotations already declare the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=true). The description usefully adds that no detection is executed and that visible=true has a side effect (enabling user login), which is genuine behavioral context beyond the annotations. It does not explain permissions or what the inspection returns, so it stays at a middling 3.

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?

Two compact sentences with no filler, and the core purpose plus the key scoping exclusion are front-loaded. Nothing is wasted, though the terseness contributes to the vagueness noted elsewhere.

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 tool with an undocumented enum parameter, no output schema, and a somewhat ambiguous object of inspection, the description is too thin. An agent cannot tell what mode=humanizer does here or what the inspection actually yields, leaving meaningful gaps.

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 carry the parameter burden. It only addresses one of two parameters (visible=true → allows login) and leaves the mode enum (detector/humanizer) completely undocumented, so it only partially compensates for the coverage gap.

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 and resource ("Inspecciona controles visibles para validar la integración") and explicitly carves itself away from detection ("no ejecuta detección"), which separates it from sibling quillbot_detect. However, "controles visibles" remains vague about what is actually being inspected, so it stops short of full specificity.

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 negative clause "no ejecuta detección" implicitly routes detection work to quillbot_detect, and the note that visible=true enables user login hints at an interactive setup context. But it never states when to prefer this over quillbot_status, nor gives prerequisites or exclusions explicitly.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false; the description usefully reinforces this by stating it opens no browser and sends no text, making the purely local, offline nature concrete. It does not, however, say what state information is actually reported.

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?

Two short sentences with no filler, front-loading the identity of the tool before the no-side-effects note. Every phrase carries information.

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 and no parameters, the description should say what "estado" means (readiness, config, version, errors). As written, an agent cannot tell what it will receive back, leaving a real gap for a status-check 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 tool takes zero parameters and schema coverage is 100%, so there is nothing for the description to disambiguate. Baseline 4 applies for a parameterless tool.

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?

"Estado local del adaptador" names a resource (the adapter) and a verb (report state), but the description largely restates the tool name (quillbot_status) in Spanish. It does not distinguish this from quillbot_inspect, which an agent could reasonably read as another status/inspection tool.

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?

There is no explicit when-to-use statement or condition for choosing this over quillbot_inspect, quillbot_detect, or quillbot_humanize. The closest thing, "No abre navegador ni envía texto," describes behavior rather than when the agent should call it.

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