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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Submit a content creation activity draft' implies a write/mutation operation but provides no information about permissions required, whether submissions are final or editable, response format, or any system constraints. Significant behavioral context is missing.

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, efficient sentence that communicates the core purpose without any wasted words. It's appropriately sized and front-loaded with the essential 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?

For a mutation tool with 9 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what happens after submission, whether there are validation rules beyond schema constraints, or how this tool differs from sibling submission tools. The high schema coverage helps but doesn't compensate for missing behavioral context.

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 high at 89%, so the schema already documents most parameters well. The description adds no additional parameter information beyond what's in the schema, maintaining the baseline score for good schema coverage.

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 action ('submit') and resource ('content creation activity draft'), making the purpose immediately understandable. It doesn't distinguish from sibling tools, but the specific focus on content creation is evident.

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 provided about when to use this tool versus the six sibling submission tools (submit_googler_interaction, submit_mentoring, etc.). The description offers no context about appropriate use cases or prerequisites for content creation submissions.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Submit an interaction with Googlers activity draft', which implies a write operation (submission), but it doesn't disclose critical behavioral traits such as permissions required, whether this creates or updates data, potential side effects, or response format. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence that directly states the tool's action. It's appropriately sized and front-loaded with the key verb 'Submit'. There's no unnecessary elaboration, making it concise, though it could be slightly more informative without losing brevity.

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 complexity (10 parameters, nested objects, no output schema, and no annotations), the description is incomplete. It doesn't explain the tool's role among siblings, behavioral implications of submission, or what happens after invocation. For a mutation tool with rich input schema but no output or annotations, more context is needed to guide the agent effectively.

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 high at 90%, meaning the schema already documents most parameters well (e.g., 'activityDate' with format, 'format' with enum values). The description adds no additional parameter semantics beyond what's in the schema. With high coverage, the baseline score is 3, as the description doesn't compensate but also doesn't need to heavily given the schema's detail.

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 'Submit an interaction with Googlers activity draft' states a verb ('Submit') and resource ('interaction with Googlers activity draft'), but it's somewhat vague. It doesn't clearly specify what 'Googlers activity draft' refers to or how this differs from sibling tools like 'submit_product_feedback' or 'submit_mentoring'. The purpose is understandable but lacks precision and sibling differentiation.

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 provides no guidance on when to use this tool versus alternatives. With sibling tools like 'submit_product_feedback' and 'submit_mentoring' available, there's no indication of what specific scenarios warrant this tool over others. Usage is implied only by the tool name and description, with no explicit context or exclusions 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Submit a mentoring activity draft' implies a write operation but doesn't specify whether this creates a new record, updates an existing one, requires authentication, has side effects, or what happens on success/failure. It lacks details on permissions, rate limits, or the submission process, making it inadequate 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, efficient sentence with no wasted words. It's front-loaded and appropriately sized for the tool's purpose, making it 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?

Given the tool's complexity (11 parameters, mutation operation, no annotations, no output schema), the description is insufficient. It doesn't cover behavioral aspects like what 'submit' entails, error handling, or the expected outcome, leaving significant gaps for an agent to understand and use the tool 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 description adds no parameter-specific information beyond what's in the input schema, which has high schema description coverage (91%). It doesn't explain relationships between parameters (e.g., how 'country' and 'inPersonAttendees' depend on 'eventFormat') or provide additional context, so it meets the baseline for high schema coverage without adding value.

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 'Submit a mentoring activity draft' clearly states the action (submit) and resource (mentoring activity draft), but it's somewhat vague about what 'submit' entails (e.g., creation, submission for review, or saving). It doesn't explicitly differentiate from sibling tools like 'submit_workshop' or 'submit_public_speaking' beyond mentioning 'mentoring'.

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 provides no guidance on when to use this tool versus alternatives like 'submit_workshop' or 'submit_public_speaking'. It doesn't mention prerequisites, context for mentoring activities, or any exclusions, leaving the agent to infer usage based on the tool name alone.

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?

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Submit a product feedback activity draft' implies a write operation, but it doesn't specify whether this creates a new record, updates an existing one, requires authentication, has side effects, or what happens upon submission. For a mutation tool with zero annotation coverage, this is inadequate.

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, efficient sentence with zero waste—it directly states the tool's action and resource. It's appropriately sized and front-loaded, making it easy to parse quickly without unnecessary elaboration.

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 tool's complexity (9 parameters, nested objects, no output schema) and lack of annotations, the description is incomplete. It doesn't address behavioral aspects like mutation effects, error handling, or return values, which are critical for a submission tool. With no output schema and minimal description, the agent lacks sufficient context for reliable use.

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 high at 89%, so the schema already documents most parameters well. The description adds no additional meaning beyond the schema, such as explaining relationships between parameters or usage examples. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't need to heavily.

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 the action ('submit') and resource ('product feedback activity draft'), which clarifies the basic purpose. However, it doesn't differentiate this tool from sibling tools like submit_content_creation or submit_story, which likely handle different types of activities. The purpose is clear but lacks sibling distinction.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context (e.g., for product-related feedback vs. other activities), or exclusions. With sibling tools like submit_mentoring and submit_workshop available, this gap leaves the agent uncertain about tool selection.

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 provided, the description carries full burden but offers minimal behavioral disclosure. It implies a write operation ('Submit') but doesn't clarify permissions, whether this creates or updates records, error handling, or what happens upon submission. For a mutation tool with 11 parameters, this leaves significant gaps in understanding its behavior.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with every word contributing to understanding the core function.

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 complex mutation tool with 11 parameters, no annotations, and no output schema, the description is inadequate. It doesn't address behavioral aspects like permissions, side effects, or response format, leaving the agent with insufficient context to use the tool effectively despite the detailed input schema.

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 high at 91%, so the schema already documents most parameters thoroughly. The description adds no additional parameter semantics beyond implying 'draft' submission, which doesn't clarify parameter usage beyond what the schema provides. Baseline 3 is appropriate given the schema does heavy lifting.

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 action ('Submit') and resource ('public speaking activity draft'), providing a specific verb+resource combination. It distinguishes this as a submission tool for public speaking activities, though it doesn't explicitly differentiate from sibling tools like 'submit_workshop' or 'submit_story' beyond the activity type.

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 provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, appropriate contexts, or exclusions, nor does it reference sibling tools like 'submit_workshop' or 'submit_story' to help the agent choose correctly among submission options.

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 provided, the description carries full burden for behavioral disclosure. It states 'Submit a story activity draft,' implying a write operation, but doesn't cover permissions, side effects, response format, or error handling. This is inadequate for a tool with 10 parameters and no output schema.

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, efficient sentence with zero waste. It's appropriately sized and front-loaded, though it could benefit from more detail given the tool's complexity.

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 10 parameters, nested objects, no annotations, and no output schema, the description is insufficient. It doesn't explain what constitutes a 'story activity,' how submissions are processed, or what happens after submission, leaving significant gaps in understanding.

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 high (90%), so the schema documents most parameters well. The description adds no additional parameter context beyond implying this is for 'story activity' drafts, which doesn't clarify individual parameters. Baseline 3 is appropriate given the schema does the heavy lifting.

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 action ('Submit') and resource ('a story activity draft'), making the purpose understandable. However, it doesn't differentiate this tool from its siblings (like submit_content_creation or submit_public_speaking), which appear to be similar submission tools for different activity types.

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 provided on when to use this tool versus its siblings. The description doesn't mention alternatives, prerequisites, or exclusions, leaving the agent to infer usage from the tool name alone.

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 provided, the description carries full burden for behavioral disclosure but provides minimal information. 'Submit a workshop activity draft' implies a write/mutation operation but doesn't clarify permissions needed, whether this creates a new record or updates existing ones, what happens on success/failure, or any rate limits. For a mutation tool with 11 parameters and no annotation coverage, this is inadequate behavioral context.

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, efficient sentence that states the core purpose without unnecessary words. It's appropriately sized and front-loaded with the essential information. There's zero waste or redundancy in the phrasing.

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 11 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what 'submit' means operationally, what happens after submission, whether there's a review process, or what the expected response format might be. The high parameter count and mutation nature demand more contextual information than provided.

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 91% (high), so the schema already documents most parameters thoroughly. The description adds no parameter-specific information beyond what's in the schema. The baseline score of 3 is appropriate when the schema does the heavy lifting, though the description doesn't compensate for the remaining 9% coverage gap or provide any high-level parameter context.

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 'Submit a workshop activity draft' clearly states the verb ('submit') and resource ('workshop activity draft'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its sibling tools like 'submit_content_creation' or 'submit_public_speaking' - all appear to be submission tools for different activity types without clear distinction in the description alone.

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 provides no guidance on when to use this tool versus its siblings. While the name suggests it's for workshop activities, there's no explicit comparison to 'submit_content_creation' or 'submit_public_speaking' that might also involve workshops. The description lacks any 'when to use' or 'when not to use' context, nor does it mention prerequisites or alternative tools.

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