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

Annotations already mark the tool as read-only, idempotent, and non-destructive. The description adds valuable behavioral context beyond that: demo spending excludes pending items and transfers, and live access is not implemented in this scaffold. No contradiction with annotations.

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 tight sentences: the first states the core operation, the second states the key data-scope caveat. Every sentence earns its place and the main purpose is 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?

Given the output schema exists and annotations cover safety, the description covers the essential behavioral caveats (pending-item exclusion, live access limitation) needed to interpret results correctly. It could add a note about what 'planned' vs 'spent' means, but that is not necessary 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?

With 0% schema description coverage, the description carries the burden for parameter meaning. It conveys that the month parameter selects monthly planned/spent amounts, but it does not mention the required YYYY-MM format or requiredness. The schema's pattern fills that gap, so the description provides partial semantic 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 opens with 'Read monthly planned and spent amounts by category' – a specific verb, resource, and aggregation scope. This clearly distinguishes it from sibling tools like list_accounts and list_transactions, which cover account/transaction listing rather than budget summaries.

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 this is the tool for budget-by-category summaries, but it does not explicitly state when to prefer it over siblings or when not to use it. The demo/live caveat is behavioral context rather than routing guidance, so usage is inferred rather than explicit.

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 readOnly, idempotent, openWorld, and non-destructive behavior. The description adds valuable context beyond annotations by clarifying that the check is purely local and does not reach out to Origin, which is important behavioral information for an agent deciding whether this call satisfies a 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?

Two short sentences carry complete meaning with zero filler. The key action and scope are front-loaded, and the critical exclusion follows immediately. 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 zero-parameter status-reporting tool, the description is fully complete. Annotations cover the safety profile, the output schema explains return values, and the description supplies the local-only, no-Origin-contact context needed to decide when to use it.

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 has no parameters and 100% coverage, so there is nothing for the description to document. With zero parameters, baseline is 4; the description adequately conveys that no arguments are needed and that the tool simply reports status.

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 ('Report') and resource ('local adapter readiness'), making the tool's function immediately clear. It also distinguishes the tool from siblings by explicitly stating it does not verify a session or contact Origin, so an agent can tell it apart from remote-connection or account-related 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 clearly indicates this is for local adapter readiness only and explicitly excludes session verification or any Origin contact. It does not name alternative tools for those remote checks, but the context and sibling list make the intended use understandable and the exclusion is unambiguous.

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, openWorldHint, idempotentHint, and non-destructive behavior. The description adds value by disclosing that full account numbers are not returned and that live access is not implemented in this scaffold, which meaningfully shapes agent expectations about data quality and scope.

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 short sentences, no filler. The core purpose is front-loaded, followed by two relevant limitations. Every word contributes useful 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 parameterless list tool with rich annotations and an output schema, the description is complete. It tells the agent what data to expect, what is excluded, and the scaffold limitation. Nothing essential is missing for correct invocation and interpretation.

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 there is no parameter burden for the description to carry. The description correctly stays silent on inputs and focuses on output characteristics. A baseline of 4 is appropriate 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?

Description states a specific verb and resource: 'List account aliases and signed balances.' It clearly distinguishes this from sibling tools like list_transactions and list_categories by naming the account-specific data. The added caveat 'No full account numbers' further sharpens the boundary.

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: call this tool when you need account aliases or signed balances. However, it does not explicitly tell the agent when not to use it or point to alternatives, relying on sibling names for differentiation. This is adequate but lacks explicit 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?

Adds the caveat that live access is not implemented, which is a meaningful behavioral trait beyond the readOnlyHint and idempotentHint annotations. This tells the agent data may be static or scaffold-only, which is critical for expectations. No contradiction with annotations.

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 short sentences with no redundant words, front-loading the purpose and adding a necessary caveat. Every word earns its place, and the structure is clean and 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 tool with an output schema, the description fully covers what the agent needs to know: what it lists and a critical limitation. No missing information prevents 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?

There are zero parameters, so the description correctly has nothing to add. The schema already covers all parameters (none), satisfying the baseline for 0-param tools. The description does not need to explain anything about 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?

States a specific verb 'list' and resource 'category identifiers and labels', clearly distinguishing from sibling list tools like list_accounts and list_transactions. The purpose is unambiguous and immediately actionable.

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?

Provides no guidance on when to use this tool versus alternatives. It does not mention that this is for categories or any conditions for selection. The caveat about live access is behavioral, not usage guidance, leaving the agent to infer when to prefer this over 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?

The annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description goes well beyond these by explaining ordering, inclusive date bounds, default status, amount sign conventions, transfer labeling, untrusted description data, and the scaffold's lack of live access. This is strong behavioral disclosure with no contradiction.

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 composed of short, information-dense sentences with no filler. Critical behavioral facts are front-loaded, and every clause adds value, from ordering to data trust.

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 rich annotations, an output schema, and a straightforward read operation, the description covers the essential behavior: pagination, sorting, date inclusivity, default status, sign conventions, transfer labeling, security guidance, and environment limitations. Nothing critical is missing for an agent to call this 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 0%, so the description must compensate for parameter meaning. It adds useful semantics for dates ('inclusive'), status ('Posted only by default'), and pagination ('one bounded page'), but it does not explain accountId, categoryId, page, or pageSize beyond what the schema already shows. The compensation is incomplete.

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 clear action ('Read one bounded page') and supplements it with transaction-specific details like amounts and transfers, making the tool's purpose evident. It does not explicitly name 'transactions' in the description or differentiate from siblings by name, but the resource is unambiguous through context.

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 usage context: use it to read a single bounded page of transactions, newest first, with posted status by default. However, it provides no explicit guidance about when to prefer this tool over siblings like list_accounts, list_categories, or get_budget_summary, and it offers no exclusions.

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