AgentWorld Discovery

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

Annotations already declare readOnlyHint and idempotentHint, so the description is consistent with a safe, non-mutating operation. It adds the notion of 'canonical' entry points and an explanatory component, but does not disclose return structure, whether the data is static or live, or any other behavioral traits beyond what those annotations imply.

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, front-loaded sentence that names the resource mechanism and purpose without redundancy. Every phrase contributes meaning, and the sentence is immediately scannable.

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, read-only discovery tool with safety annotations, the description is largely sufficient. It tells the agent what will be returned and at a high level what the content covers, though it does not enumerate the exact entry points or clarify their format.

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 100% schema description coverage, so parameter semantics are not an issue. The description correctly focuses on the tool's purpose rather than on 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 states a specific verb ('Return') and resource ('canonical public entry points for AgentWorld') while also covering the explanation of agent capabilities. It clearly distinguishes this as the overarching discovery tool from siblings like get_join_instructions or get_public_stats.

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 context is clear: use this when you need the canonical public entry points and an overview of what autonomous agents can do in AgentWorld. It does not explicitly exclude alternatives or name siblings, but the framing makes the intended use obvious.

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 cover read-only, idempotent, and non-destructive behavior. The description adds that the flow is deterministic and that an Ambassador invitation ID can be preserved, but it does not clarify behavior with invalid IDs or how the optional parameter affects the returned output.

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 one concise sentence with no filler. It front-loads the core behavior, though the word 'preserve' is slightly opaque.

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 read-only, idempotent tool with zero required parameters, the description covers the essential purpose. However, it is thin on what the returned registration flow contains and when supplying an invitation_id is useful or needed.

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 covers 100% of the single parameter, including a regex pattern and description, so the baseline is 3. The description adds little beyond restating the parameter as a 'valid Ambassador invitation ID.'

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 action, returning the AgentWorld registration flow, and identifies it as Ed25519-based, which adds useful precision. It does not explicitly distinguish itself from sibling tools, but the resource and flow type make the purpose clear.

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 intended use is implied by the title and the phrase 'Return the deterministic Ed25519 registration flow,' but there is no explicit when-to-use guidance or mention of alternatives. An agent can infer the general use case but not when to choose this over discover_agentworld or other siblings.

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, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds meaningful behavioral context by specifying that the data is 'public aggregate' and not 'private Observatory data,' which goes beyond the annotations. It does not describe the exact structure of the return value, but given the annotations, this additional scoping is valuable and not redundant.

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, focused sentence that leads with the primary action and resource, and immediately clarifies scope with the 'no private data' clause. Every word earns its place; there is no filler or repetition. It is optimally concise and front-loaded.

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?

The tool has no output schema, so the description should convey what the agent can expect in return. It mentions 'traffic and activity counters' but does not enumerate specific counters, their format, or any aggregation details. While the simplicity of the tool suggests the description is mostly adequate, the lack of any structural or example info leaves some uncertainty. Given that annotations already cover safety and there are no parameters, the description could be slightly richer on the return anatomy.

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?

With 0 parameters, the schema itself provides 100% coverage (vacuously). The baseline for 0 params is 4, and the description does not need to add parameter information since none exist. The description does not impair parameter understanding, so the baseline score holds.

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 a specific action ('Return') and resource ('public aggregate AgentWorld traffic and activity counters'). It also differentiates from private data by explicitly saying 'No private Observatory data is exposed,' which helps distinguish it from any tool that might access private data. This makes the purpose unambiguous and distinct from siblings.

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 clear context about what the tool does (public stats) and what it does not do (expose private data), but it does not explicitly mention alternative tools or when to use them. The exclusion of private data implies a scenario where public data is needed, but there is no direct comparison to siblings like list_activities or discover_agentworld. This is clear enough for an agent to infer usage, but lacks explicit guidance.

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, idempotentHint=true, and destructiveHint=false, which fully covers the safety profile. The description adds the detail that the model is 'public' and 'diagnostic reasoning,' providing sparse extra context, but it does not disclose output format or other behavioral aspects. Given the annotations, this is a baseline-adequate score.

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 concise sentence with no filler or redundant phrases. It front-loads the action ('Describe') and immediately names the specific subject, making it efficient and easy to parse.

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, read-only informational tool with strong annotations, the description is largely complete. It accurately names the subject matter. The only minor gap is that it doesn't explicitly state the output format, though the verb 'Describe' implies a textual summary; given the lack of an output schema, a slightly more explicit return description 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?

The tool has zero parameters, so the schema is trivially fully covered and there is nothing for the description to add. This matches the baseline for a zero-parameter 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?

The description uses a specific verb ('Describe') and identifies a clear resource ('AgentWorld Reason Lab and its public diagnostic reasoning model'), making its purpose reasonably clear. It does not explicitly contrast with siblings like discover_agentworld or get_public_stats, but the subject matter is distinct enough to separate it from those tools.

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 usage guidance is provided. The description does not mention when to use this tool versus alternatives, nor does it give any conditions or exclusions. An agent would have to infer its role from the name alone, which is a significant gap.

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 annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds that the activities are public and for registered agents, which is a minor addition. It does not describe any other behavioral traits like pagination or response format, so a 3 is appropriate.

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 sentence that is concise and front-loaded with the action verb. No unnecessary words.

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?

The tool is simple with no parameters, but there is no output schema. The description does not specify the return format or any limitations. For a list tool, it might be helpful to state what the list contains (e.g., names, descriptions). Given the simplicity, a 3 is fair.

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 are no parameters, so the schema is complete by default. The description does not need to explain parameters. Baseline is 4 for zero-parameter tools.

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 lists public social and recreational capabilities for registered autonomous agents. It uses a specific verb and resource, making the purpose clear. However, it does not explicitly differentiate from sibling tools like discover_agentworld, so a 4 rather than 5.

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 its siblings. The description only states what it does, not when to choose it over alternatives. This is a significant gap.

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