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. It effectively describes key behaviors: it's a read operation (implied by 'List'), specifies the return format (capability details), and states a prerequisite (Purroxy app must be running). However, it doesn't mention potential limitations like rate limits, error handling, or data freshness, leaving some behavioral aspects uncovered.

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 appropriately sized and front-loaded: it starts with the core purpose, then details the return data, usage context, and prerequisite in three concise sentences. Every sentence adds essential information without redundancy, making it highly efficient and well-structured for quick comprehension.

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 low complexity (0 parameters, no output schema, no annotations), the description is largely complete: it covers purpose, usage, return data, and prerequisites. However, without an output schema, it could benefit from more detail on the return structure (e.g., format, pagination), but the mention of specific fields mitigates this gap adequately for this simple 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 input schema has 0 parameters with 100% coverage, so the baseline is 4 as per the rules for zero parameters. The description doesn't need to add parameter semantics, but it does mention 'required parameters' as part of the return data, which aligns with the schema's lack of inputs. No additional value is needed or provided beyond the schema.

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 tool's purpose with specific verbs ('List all browser automation capabilities') and resources ('recorded in Purroxy'), and distinguishes it from sibling tools by mentioning its role in discovery before using purroxy_run_capability. It explicitly names the returned fields (name, description, target website, required parameters), making the purpose highly specific and differentiated.

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 explicit usage guidelines: it states when to use this tool ('Call this first to discover what automations are available before executing one with purroxy_run_capability'), names the alternative tool (purroxy_run_capability), and includes prerequisites ('Requires the Purroxy desktop app to be running'). This gives clear context and exclusions for effective 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 the full burden of behavioral disclosure. It effectively describes key behaviors: it's a mutation tool (executes actions), requires external dependencies (Purroxy desktop app), involves automation (replays recorded actions in headless browser), uses saved credentials, and returns structured data. However, it doesn't mention potential side effects, error handling, or performance characteristics like timeouts.

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 front-loaded with the core purpose in the first sentence, followed by essential context in subsequent sentences. Every sentence earns its place: the first defines the action, the second explains the mechanism, the third provides usage guidance, and the fourth states prerequisites. No wasted words, and the structure flows logically from what to how to when.

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 (automation execution with dependencies), no annotations, and no output schema, the description does well by covering purpose, usage, and prerequisites. However, it lacks details on return values (only mentions 'structured data' vaguely) and doesn't address potential failures or limitations. For a tool with no output schema, more clarity on results would improve completeness.

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 100%, so the schema already documents both parameters thoroughly. The description adds value by explaining that capability_name must match exactly from purroxy_list_capabilities and that parameters are key-value string pairs, reinforcing the schema. It doesn't provide additional syntax or format details beyond the schema, but the context is helpful.

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 specific action ('Execute a recorded browser automation capability by name'), the resource ('recorded browser automation capability'), and the mechanism ('Purroxy replays the recorded actions in a headless browser with saved session credentials, then extracts and returns structured data'). It distinguishes from sibling tools by specifying this is for execution, while purroxy_list_capabilities is for discovery and purroxy_status likely for monitoring.

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 explicitly states when to use this tool ('Call purroxy_list_capabilities first to discover available capability names and their parameters') and provides prerequisites ('Requires the Purroxy desktop app to be running'). It clearly differentiates from alternatives by indicating the discovery tool must be called first, establishing a clear workflow.

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. It discloses that the tool returns 'connection status and the number of available capabilities,' which adds useful behavioral context. However, it lacks details on error handling, latency, or authentication needs, leaving some gaps in transparency for a status-checking 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 two sentences that are front-loaded with the core purpose and followed by usage guidance. Every sentence adds value without redundancy, making it efficient and well-structured for quick 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?

Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is complete enough for a status-checking tool. It explains what the tool does, when to use it, and what it returns. However, without an output schema, it could benefit from more detail on return values (e.g., specific status codes), but this is a minor gap.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately does not discuss parameters, focusing instead on the tool's purpose and usage. This meets the baseline for tools with no parameters.

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 specific action ('Check whether the Purroxy desktop app is running and reachable') and the resource (Purroxy desktop app). It distinguishes from siblings by focusing on status verification rather than listing or running capabilities, making the purpose explicit and differentiated.

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 explicit guidance on when to use this tool ('Use this to verify Purroxy is ready before attempting to run automations'), which directly contrasts with the sibling tools (purroxy_list_capabilities, purroxy_run_capability) that are for listing and executing capabilities. This gives clear context and alternatives.

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