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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the intended outcome but does not disclose side effects such as what happens to the previously visible screen, whether the change is pushed to the device, whether activation is reversible, or what failure behavior looks like.

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 single sentence with no padding; it front-loads the core action and requires no unnecessary detail. It is appropriately concise for a one-parameter tool.

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?

Given the simple one-parameter schema and presence of an output schema, the description is minimally adequate. However, because there are no annotations, the description omits important context around prerequisites, side effects on the existing displayed screen, and how activation interacts with sibling tools, leaving notable contextual 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?

The schema provides no parameter description, so schema_description_coverage is 0%, but the single parameter 'screen_id' is fairly self-explanatory and the description's 'configured screen' gives minimal context linking the ID to a screen. Still, the description does not explain how to obtain screen_id, expected format, or any implicit constraints beyond the field name.

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 uses a specific verb-resource pair ('Make a configured screen visible on the Kindle') and clearly indicates the action targets a screen on a device. However, it does not explicitly differentiate this from related sibling tools like render_preview, push_updates, or render/display workflows.

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?

No guidance is given about when to use activate_screen versus sibling alternatives such as push_updates, render_preview, or list_screens. The word 'configured' implies a prerequisite prerequisite, but there is no explicit statement of prerequisites, exclusions, or when-not-to-use instructions.

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?

With no annotations, the description carries the burden of behavioral disclosure. 'Return' signals a read-only operation, and 'complete' and 'current content' clarify the scope of what is fetched, but the description does not mention caching, permissions, or whether the result is a live snapshot.

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 a single, front-loaded sentence with no filler or redundancy. It is appropriately sized for a zero-argument getter and communicates the essential scope without 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 simple zero-parameter getter with an output schema, the description covers the core purpose and return scope. However, it lacks any indication of how get_dashboard relates to sibling tools like list_screens, leaving some routing ambiguity for the agent.

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, so the schema fully documents the input side; this is the baseline case for a 0-parameter tool. The description reinforces that no arguments are needed by emphasizing that it returns the complete configuration and current content.

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 uses a specific verb ('Return') and identifies the resource ('dashboard configuration and current content'), with 'complete' defining the scope. It clearly states what the tool does, though it does not explicitly distinguish it from sibling tools such as list_screens.

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 guidance on when to use this tool versus sibling tools like list_screens, render_preview, or update_region. The read-oriented wording implies retrieval, but no context, prerequisites, or exclusions are provided.

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?

There are no annotations, so the description carries the full behavioral burden. 'List' implies a read-only operation and the active-screen detail adds useful state awareness, but the description does not explicitly state that it has no side effects, requires no permissions, or how the active screen is determined. The output schema covers 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?

The description is a single front-loaded sentence that states the action, resource, and return fields without repetition or filler. Every word contributes to the agent's understanding.

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 zero-parameter list tool with an output schema, the description is mostly sufficient. The only minor ambiguity is the phrase 'which screen is active' — it does not clarify whether active is global or per region — but the output schema likely resolves this.

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 has zero parameters and the input schema is already empty, so there is nothing meaningful left to explain about parameters. Per the zero-parameter baseline, this is appropriately handled.

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 uses a specific verb and resource: 'List screens' and names the exact returned information (names, region IDs, active screen). It separates itself from mutation siblings like activate_screen and upsert_screen, though it does not explicitly contrast itself with the retrieval sibling get_dashboard.

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 verb 'List' implies when to use the tool, but the description gives no explicit context about when to prefer it over alternatives or how it fits into workflows with siblings like update_region or get_dashboard. A stronger description would say 'use this to view current screens before updating a region' or similar.

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?

The word 'Atomically' discloses an all-or-nothing behavior, and 'apply content updates' makes the write nature explicit. However, with no annotations, the description still omits auth requirements, failure/rollback semantics, and what happens to existing content.

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 sentences, with the action front-loaded and no filler. The second sentence earns its place by clarifying the freeform update items.

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 mutation tool with a freeform updates object and no annotations, this is too sparse. Missing screen_id semantics, what fields are valid, and how this relates to update_region; the atomicity note and item hint are not enough.

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 compensate. It does add meaning for the updates array ('Each item needs region_id and fields'), but it leaves screen_id unexplained and 'fields' underspecified, so compensation is only partial.

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 opens with a specific action ('Atomically apply content updates'), clearly stating the tool's verb and resource. It doesn't explicitly contrast with sibling tools like update_region or upsert_screen, but 'content updates' combined with atomicity is reasonably distinctive.

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 guidance on when to choose push_updates over update_region, render_preview, or upsert_screen. The only usage hint is the per-item requirement, which is parameter-level rather than selection context.

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?

The description discloses the core behavior, output format, dimensions, and return value, but no annotations are provided to cover safety or side effects. It does not mention file overwrite behavior, filesystem side effects, authentication needs, or what 'current screen' requires, leaving behavioral gaps.

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 single sentence with no filler, front-loading the action and output details. Every word contributes necessary information, and the structure is easy to parse quickly.

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 one-parameter tool, the description covers the main action and return value, but with no annotations and no parameter explanation it leaves open important details: whether the file overwrites existing content, how the output path is resolved, and whether any screen state must be active. This is adequate but not fully complete.

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% and the description never mentions output_path, so the sole parameter is left to inference from its name and default. The phrase 'return its absolute path' hints at output handling but does not clarify how output_path relates to the returned path or what happens when it is omitted.

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 a specific verb ('Render'), a clear resource ('the current screen'), and a precise output ('758x1024 PNG'). It also states the return value ('absolute path'), making the tool's purpose unambiguous and distinct from siblings like list_screens or activate_screen.

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 implies usage when a preview of the current screen is needed, but it provides no explicit when-to-use or when-not-to-use guidance and does not compare against sibling tools. An agent must infer the appropriate context from the verb and resource.

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?

With no annotations, the description carries the full burden of behavioral disclosure. It states that content is updated but does not explain whether the update is partial or full, whether unspecified fields are preserved, what validation applies to arbitrary fields, or what side effects occur. This is a significant gap for a mutation tool.

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 a single front-loaded sentence with no filler. The list of updatable content types is useful, though it is somewhat long; still, it earns its place by conveying the tool's scope.

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 mutation tool with no annotations, arbitrary nested fields, and zero parameter descriptions, this is under-specified. The presence of an output schema reduces the need to describe return values, but the description still omits usage conditions, field semantics, and behavioral guarantees.

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 compensate for the schema's lack of parameter documentation. It adds some meaning by listing possible keys inside 'fields', but it does not explain screen_id, region_id, or the semantics of the fields object. The description only partially fills the documentation 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 uses a specific verb and resource: 'Update region content', and enumerates representative field names such as value, label, items, status, icon, unit, size, and invert. This makes the tool's purpose reasonably clear, though it does not explicitly differentiate it from siblings like upsert_screen or push_updates.

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?

No guidance is given about when to use this tool versus alternatives such as push_updates or upsert_screen. The word 'update' implies a use case, but there are no stated conditions, prerequisites, or exclusions.

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?

With no annotations, the description must disclose behavior itself. It states the mutation ('Create or replace') and adds a useful coordinate-system constraint ('normalized 1000x1000 canvas'), but it does not explain what 'replace' destroys (e.g., existing regions) or any side effects.

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, both substantive, with the core operation front-loaded. No filler or redundant restatement of the tool name.

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 mutation tool with no annotations and an opaque nested parameter, the description is too thin. An agent still cannot tell what a valid screen object looks like, how replacement is identified, or how this relates to update_region/push_updates.

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 only parameter, screen, is an opaque object with additionalProperties true and 0% schema coverage. The description contributes one meaningful hint about region coordinates, but it does not describe the screen object's fields, required identifiers, or how replacement is keyed.

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 opens with a concrete operation and resource: 'Create or replace a screen.' This is unambiguous and clearly distinguishes it from region-level operations like update_region and activate_screen, though it does not explicitly name a sibling.

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?

No guidance is given on when to choose upsert_screen over siblings such as update_region or push_updates. The description does not state prerequisites, intended call context, or exclusions.

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