Insider Buy Signals

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

With no annotations, the description carries the full behavioral disclosure burden. It explains the filtering rule and notes each record includes the source filing_url, which is useful. However, it does not clarify the meaning of 'in-window,' result ordering, limits, or other behavioral traits an agent might need.

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, well-structured sentence that front-loads the core definition and includes only essential details. Every clause adds meaning, and there is no redundant or filler content.

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 tool, the description adequately explains what the tool returns and highlights an important record field. It is slightly incomplete in defining 'in-window' and how this relates to sibling signal tools, but the low complexity keeps the gap small.

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 zero parameters, so the baseline is 4. The description's mention of filing_url is not parameter-related but adds useful output context; no parameter documentation is needed here.

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 as the Rule-2 cluster-buy signal subset with a concrete definition (>=2 insiders buying the same issuer in-window). It distinguishes itself from sibling signal tools by calling it the 'highest-signal subset,' though it lacks an explicit verb like 'list' or 'return.'

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 phrase 'highest-signal subset' implies this tool is for users seeking top-signal cluster-buy activity, but it does not explicitly state when to use this over sibling tools or when not to use it. No alternatives are named, so the routing guidance is mostly implicit.

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 behavioral burden and does disclose the return item (single Rule-2 record + filing_url) and an error on no gated match. It does not, however, mention read-only/safety status, access restrictions, or any other operational constraints beyond the brief 'gated' hint.

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 no filler; the resource and scope are front-loaded and the error condition adds useful information. Every sentence 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 one-parameter tool with no output schema, the description provides the lookup key, the returned object (including filing_url), and the failure condition. It is complete enough to invoke correctly, though the full Rule-2 record shape is not enumerated.

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 already documents the only parameter (accession) with an example, so the description adds no new parameter-level meaning. With 100% schema coverage, baseline 3 is appropriate.

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 identifies a specific resource: the single Rule-2 SEC filing record for one accession, and states that it includes the filing_url. This accession-keyed lookup is clearly distinguished from sibling signal/date/ticker tools, so an agent can tell what it does.

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 phrase 'for one SEC filing accession' implies that the tool is for resolving a single known filing ID, but the description never explicitly says when to prefer it over the sibling signal/cluster tools or when not to use it. Usage is inferable rather than spelled out.

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 behavioral disclosure burden. It adds meaningful traits: the rule-2 filter, inclusive date boundaries, and the presence of a source filing_url on each record. It does not disclose ordering, pagination, or error behavior, but for a simple read-only date-range query these gaps are minor.

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 no filler: the first states the tool's purpose and filter, the second clarifies an important property of the returned records. The main behavior is front-loaded and every sentence 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 low-complexity tool with two required, fully documented parameters and no output schema, the description gives enough to invoke it correctly: the date range semantics are stated and the record content is partially described. It is not exhaustive about return fields or sibling routing, but it is complete enough for selection and basic 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?

The input schema already describes both parameters as inclusive ISO YYYY-MM-DD dates, so schema coverage is 100%. The description's 'inclusive ISO date range' phrasing reinforces the schema but adds no new per-parameter semantics, matching the baseline for fully documented 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 identifies a specific resource ('Rule-2 insider-buy signals') and the core filter (filed within an inclusive ISO date range). It does not use an explicit action verb like 'returns' or 'lists', but the phrasing plus 'Each record carries...' makes the retrieval behavior clear and distinguishes it from ticker-based and single-day sibling 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?

The description implies when to use the tool: when the agent needs Rule-2 insider-buy signals across a date range. However, it never explicitly contrasts this with sibling tools such as insider_signals_by_ticker or insider_signals_today, leaving the agent to infer the appropriate selection from the name and neighboring tool list.

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 disclosing behavior. It discloses that the result is a record set including filing_url, but it does not explain Rule-2 criteria, limits, ordering, or pagination. The read-only/query nature is implied rather than explicit.

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, no filler. The primary scope is front-loaded, and the record detail (filing_url) earns its place by giving an output hint in the absence of an output schema.

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 single-parameter lookup tool, the description is largely complete: it states what is returned, for what input, and one key output field. It omits anything about data freshness or Rule-2 definition, but those are not necessary to invoke 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?

Schema description coverage is 100%, so the schema already documents the ticker parameter and provides an example. The description reinforces case-insensitivity but adds no new parameter semantics 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 identifies the resource ('Rule-2 insider-buy signals') and scope ('one ticker'), differentiating from date-range, today, cluster, and filing-lookup siblings by its ticker-based focus. The added 'case-insensitive' detail removes ambiguity about input matching.

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?

It gives clear context: use when you need all insider-buy signals for a single ticker, with case-insensitive matching. It does not explicitly name alternatives or exclusion conditions, so it stops short of full routing 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?

With no annotations available, the description carries the full burden of behavioral disclosure. It reveals the filtering rule, temporal scope, ranking order, and a constituent field. It does not mention empty-result behavior or read-only status, but for a simple no-parameter query tool this is reasonably transparent.

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 dense sentence that front-loads the core purpose ('Rule-2 insider-buy signals filed today') and then adds essential qualifiers. There is no redundancy or filler; every clause adds meaningful 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 zero-parameter tool with no output schema, the description covers the key selection criteria and a result characteristic (filing_url). It could list additional return fields, but the provided detail is sufficient for selecting and invoking 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 tool has zero parameters, so the input schema is empty and schema description coverage is trivially 100%. The description appropriately contains no parameter information, matching the baseline of 4 for tools without 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 the exact resource (Rule-2 insider-buy signals), the temporal scope (filed today), the SEC code (P open-market purchases), the ranking (cluster-first), and a key field (filing_url). This clearly distinguishes it from siblings like insider_signals_by_date_range and insider_signals_by_ticker without needing to open 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 implies the tool is for today's signals ('filed today'), but it does not explicitly say when to use it versus alternatives or mention sibling tools. No exclusions are provided, so guidance relies on inference rather than direct routing.

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