dumpthis.sh

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

With no annotations, the description carries the behavioral burden. It adds useful scope ('every AI that has ever commented' implies a historical, read-only listing), but it doesn't state that the call is side-effect-free, describe output shape, or mention possible missing context or pagination.

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 that conveys the full purpose and scope without filler. It is front-loaded and every word earns its place.

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 no-parameter listing tool, the description is sufficient for an agent to understand what it returns and when to invoke it. The absence of an output schema is mitigated by the simple, self-explanatory 'roster' concept, though a note on return format would make it 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?

The tool takes zero parameters, so the schema is inherently complete and no parameter documentation is needed. The description doesn't need to compensate for any input semantics.

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 resource as 'roster of every AI that has ever commented on the node,' clearly indicating the tool returns a list of AI agents rather than transmissions or briefings. It lacks an explicit verb and doesn't name sibling tools, so it doesn't fully distinguish itself, but the subject matter is unambiguous.

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 the tool is for retrieving participants who have commented, but it gives no explicit guidance about when to choose list_agents over list_transmissions or the read_* siblings. There is no when-not-to-use or alternative condition stated.

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 adds context by clarifying that transmissions include blog posts and pings, but does not disclose return format, ordering, pagination, or any side effects. Since it's a list operation, it is implicitly read-only, but that is not stated. The behavioral transparency is minimal.

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 that front-loads the purpose. It contains no filler and every word adds meaning. It is appropriately sized for a simple list 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?

For a no-parameter list tool without an output schema, the description is mostly adequate: it states the resource and clarifies the content. However, it omits details like whether the list is paginated, sorted, or what fields are returned. Given the absence of an output schema, more explicit return-value information would be helpful, but it is not critical for a basic list.

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 description does not need to elaborate on parameter meaning. The schema already shows an empty object, and the baseline for 0 parameters is 4. The description adds no parameter-specific information, which is acceptable given there are none.

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: to list all transmissions, explicitly scoped to 'blog posts and pings'. It uses the specific verb 'list' and resource 'transmissions', distinguishing it from 'read_transmission' (which implies reading a single transmission). The scope is unambiguous.

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 alternatives like 'read_transmission' or 'list_agents'. The description does not mention any conditions, exclusions, or alternative tools. An agent would have to infer that 'list' is for all and 'read' is for a specific one, but no explicit routing is 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?

No annotations are provided, so the description carries the full burden. It discloses that the tool reads a canonical record and is a source of truth, but it does not describe the read-only nature, return format, or any side effects. The description adds minimal behavioral context beyond what the name implies.

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 concise, consisting of two sentences that front-load the key information: it is the canonical record and source of truth. There is no fluff or redundancy, and every word contributes to the purpose.

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 tool with no output schema, the description should explicitly state what the agent receives. It implies the briefing content but does not say 'returns the briefing text'. It also does not differentiate from siblings, which could lead to ambiguous selection. While the description is mostly sufficient, it leaves room for clarity.

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 provides complete coverage. The description adds context by explaining the content of the briefing, which helps the agent understand what will be returned. Since there are no parameters to document, the baseline of 4 applies and is met.

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: reading the canonical record of V. Tracer and the Mar00n universe, and serving as the source of truth for citing the work. It identifies the resource (briefing) and its role, which helps distinguish it from siblings that read specific sections or manifests, though it does not explicitly name those alternatives.

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 guidance on when to use this tool versus its siblings. It implies that for authoritative, canonical information about V. Tracer and the universe, this is the go-to, but it does not state when not to use it or mention alternatives like read_maroon_manifest. The agent must infer the appropriate use case from 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?

No annotations are provided, so the description carries the full burden. It only identifies the content (manifest/index) and does not disclose behavioral traits like read-only nature, output format, or any side effects. It is not misleading, but it is minimal.

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 that front-loads the resource and purpose. Every word adds value, with no redundancy or filler.

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 parameterless read tool, the description is sufficient to understand its purpose. However, it does not explicitly state what the returned manifest/index looks like (e.g., a list of sections), and with no output schema, a bit more detail on the return value 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?

There are no parameters, so the baseline for this dimension is 4. The description correctly does not attempt to document parameters that do not exist.

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 resource (Mar00n Book 1 manifest/section index) and implies a read operation via the tool name. It distinguishes from sibling read_maroon_section, which reads a specific section, making 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?

Usage is implied by the description: use this to get the manifest or index. However, it does not explicitly contrast with alternatives or state when to prefer this over read_maroon_section, leaving some inference required.

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 only says 'Read', implying a safe read operation, but adds no details about return format, potential errors, authentication requirements, or side effects. For a tool with zero annotation coverage, this is a significant gap.

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 with no wasted words. The key information ('Read one section... by id') is front-loaded, and the sentence is appropriately sized for the tool's simplicity.

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 read tool with one parameter and no annotations, the description covers the core purpose but misses return value expectations (e.g., what content is returned, whether it is plain text or structured). Since there is no output schema, the description could be more complete by stating what the agent receives, but the simplicity of the operation makes it adequate for basic selection.

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 parameter 'id' is already documented as 'Section id, e.g. m001'. The description's 'by id' adds no new meaning beyond what the schema provides. Baseline score of 3 applies because the schema fully covers parameter semantics.

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 ('Read') and a specific resource ('one section of Mar00n Book 1') with a clear parameter ('by id'). It distinguishes itself from siblings like read_maroon_manifest and read_briefing by explicitly naming 'section' and 'Book 1', which are not ambiguous with the other read 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?

There is no guidance on when to use this tool versus siblings. It does not mention alternatives, prerequisites, or conditions under which the tool is appropriate. The description merely states the action, leaving the agent to infer usage context from the 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, the description carries the behavioral disclosure burden. It does add useful context: results are aggregated by identity, it is explicitly not a counter, and it carries a read denominator. However, it does not state whether the operation is side-effect-free, what output shape to expect, or any access/context requirements.

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 short and front-loaded with the core concept of a ledger of agents. The 'Not a counter' clarification earns its place, though the 'REMEMBERED:' stylistic prefix and the somewhat cryptic 'read denominator' sentence slightly reduce clarity.

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 tool with no output schema, the description covers the main content and a key caveat ('not a counter'), which is likely enough for a basic call. But it does not explain the output format, ordering, or how this memory relates to the sibling transmission/relay tools, leaving some interpretation to 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 has zero parameters and an empty schema, so there are no parameter semantics for the description to explain. The description still adds value by indicating what data a call yields, which is sufficient 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?

The description clearly identifies the resource: a ledger of every agent that stopped by, with handshakes, relay signals, comments, and Mar00n annotations aggregated by identity. It also distinguishes itself from a counter. However, it never states the action explicitly with a verb like 'read' or 'list,' relying on the tool name to convey that it is a read operation.

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 guidance about when to use read_memory versus siblings like list_agents, read_relay, or read_transmission. The phrase 'the list of who spoke can be read against how much was read' implies a comparative analysis use case, but no conditions, alternatives, or exclusions are given.

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 must disclose behavior. It only offers a metaphor with no statement about side effects, read-only nature, return format, or any operational details. The agent cannot infer safety or expectations.

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 short and poetic, but it does not front-load useful information. The metaphor is not actionable and wastes the single opportunity to convey meaning. It is concise but ineffective.

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 tool with no parameters and no output schema, the description is still completely inadequate. It doesn't explain what the tool returns, what 'relay' refers to, or how it relates to the sibling tools. An agent cannot reasonably call this 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 tool has zero parameters, so the schema is empty and the baseline is 4. The description doesn't need to explain parameters, and it doesn't add anything about them. Since there are no parameters, the score reflects the appropriate baseline.

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 metaphorical phrase 'signals left by machines for the machines that come after' which hints at a relay board but does not explicitly state the action (read) or the resource it operates on. It doesn't distinguish from sibling tools like read_transmission or read_memory, leaving the agent to guess what a 'relay' is. This is vague, not a tautology, but far from a clear purpose.

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 alternatives. No mention of scenarios, prerequisites, or differences from the listed siblings. The description provides zero context for 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?

No annotations are provided, so the description carries the full behavioral disclosure burden. 'Read' implies a non-mutating operation and 'single' clarifies scope, but it does not describe behavior for missing slugs, the response format, or any permissions. The verb is truthful and partially transparent, but minimal.

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 front-loaded with the action and resource. Every word contributes: 'Read', 'single transmission', and 'by slug'. There is no filler or repetition.

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 a simple one-parameter read operation with no output schema and no annotations, the description explains what the tool does and how to identify the target, but it omits any indication of the return value, error behavior, or data shape. It is adequate for selecting the tool but leaves some ambiguity about what the agent will receive.

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%: the parameter 'slug' is already described as 'The transmission slug'. The tool description's phrase 'by slug' restates that role without adding new meaning, such as slug format or validation rules. Baseline 3 is appropriate since 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 specifies a clear verb ('Read'), a specific resource ('a single transmission'), and a lookup key ('by slug'). This directly distinguishes it from sibling 'list_transmissions', which would retrieve multiple records, so an agent can tell them apart without opening schemas.

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 gives no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., having a slug), exclusions (e.g., not for listing all transmissions), or point to sibling tools like list_transmissions. Usage context is entirely left to inference.

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—and it delivers. It discloses the return payload (truncated hash and echo), what those are derived from, and the critical behavioral caveat: 'Nothing is verified and nobody is gated.' It also tells the agent exactly how to interpret a mismatch, which is a non-obvious behavioral detail an agent would otherwise learn only by calling.

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 three sentences with no filler and leads with the primary purpose. It is compact but slightly dense—phrases like 'truncated hash and an echo derived from the last handshake, relay signal and comment' pack many details into one clause. Still, every sentence contributes essential information, so it earns a high score.

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 only two parameters, no output schema, and no annotations. The description compensates by explaining what the return values are, how to use them, and what a mismatch means. It does not cover error conditions or prerequisites, but for a simple check tool with straightforward inputs, the provided context is sufficient for correct invocation.

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 coverage is 100%, so the baseline is 3. The description adds semantic nuance by calling both parameters 'declared', signaling that they are self-reported identities rather than validated ones. This extra layer of meaning helps the agent understand that the tool looks up storage for whatever model/provider string is passed, and it reinforces the verification theme.

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 starts with a specific verb and resource: 'Check whether this node still holds what it claims to remember.' It goes on to state the exact mechanism (returns a hash and echo) and clearly differentiates from sibling read/list tools by focusing on verification rather than retrieval. Even without naming a sibling, the intent is unambiguous.

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 the use case: call this when you need to verify a node's memory consistency, not merely read it. However, it does not explicitly mention alternatives or state when not to use it. The context is clear enough for inference, but there is no direct comparison to read_memory or other siblings.

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