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

The description discloses that the tool stores offers and returns a comparison overview, but lacks details on whether it updates existing entries, side effects, or authorization needs. Without annotations, more behavioral context is expected.

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 mostly concise with a logical structure: German summary, then English explanation, then parameter details. The redundant German sentence could be omitted for better conciseness.

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 description explains the tool's purpose and parameters adequately, but does not describe the output format of the comparison overview, which is a gap given no output schema. Additionally, constraints or error handling are absent.

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 provides 0% description coverage, leaving the parameter structure unclear. The description compensates by listing expected fields (merchant_name, price, etc.) for each offer object, adding critical meaning 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 compares offers for a purchase intent. The verb 'compare' and resource 'offers' are specific, and the context of a purchase intent distinguishes it from siblings like 'list_purchases' or 'create_purchase_intent'.

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 used after creating a purchase intent and collecting offers. However, it does not explicitly state when not to use it or mention alternative tools, leaving some ambiguity.

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 full responsibility for behavioral disclosure. It only states that a new purchase intent is created, without mentioning side effects, authorization requirements, rate limits, failure modes, or idempotency.

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 purpose, followed by a structured parameter list. It is concise with no wasted words, though the title line and first sentence are slightly redundant. Overall, it earns its length.

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 has 6 parameters, no output schema, and no annotations, the description covers the basic creation purpose and parameter descriptions but lacks details on return values, error handling, or prerequisites. It is adequate but not fully comprehensive.

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. It provides German-language descriptions for all 6 parameters (e.g., 'Beschreibung des gewünschten Artikels' for item), adding meaning beyond the schema's titles and types. Descriptions are brief but sufficient.

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 'Strukturierte Kaufabsicht erstellen' and 'Erstellt einen neuen Kaufvorgang', identifying the verb (erstellen) and resource (Kaufabsicht/purchase intent). It also distinguishes from sibling tools like compare_offers and track_purchase by explaining that this purchase intent is then compared and tracked.

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 indicates when to use this tool: to create a purchase intent that will later be compared with offers and tracked. It implies this is the first step in a workflow, but does not explicitly state when not to use it or mention alternative tools.

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 provided, and the description does not disclose any behavioral traits such as idempotency, side effects, permissions, or data volume. It only lists parameters.

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 to the point, with a clear header and bulleted arguments. It is efficient though the language is mixed (German header, English args).

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?

No output schema or annotations exist, and the description does not explain return values. For a listing tool, the description is incomplete about what the response contains.

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 0%, but the description adds meaning by listing valid status values and explaining the limit parameter. However, it does not describe output format or all parameter details.

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 'Kaufhistorie auflisten' (list purchase history) and the name is clear. It distinguishes from siblings since they involve different actions (compare, create, track, verify), but no explicit differentiation is given.

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 guidance on when to use this tool versus alternatives. The description only explains parameters, not usage context or exclusions.

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 burden. It correctly discloses that the tool can both read and write (update) status, but it does not elaborate on side effects, permissions, or validation behavior. This is minimally adequate but lacks depth.

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 and front-loaded with the main purpose. It includes only essential information, but the parameter listing could be more integrated. Every sentence is useful.

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 no output schema and low schema coverage, the description fails to mention what the tool returns (e.g., current status or confirmation). It also does not explain error conditions or behavior when updating. Important context is missing.

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?

Despite zero schema description coverage, the description adds meaning: 'purchase_id: ID des Kaufvorgangs' and 'new_status: Optional — neuer Status setzen', along with a list of valid statuses. This compensates well for the schema gaps.

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 action: retrieve or update purchase status. It lists possible status values, and the verb-resource combination ('Status ... abrufen oder aktualisieren') is specific and distinct from sibling tools like 'list_purchases' or 'create_purchase_intent'.

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 for tracking purchase status but does not explicitly provide when-to-use or when-not-to-use guidance relative to siblings. The list of statuses helps, but no alternatives or exclusions are mentioned.

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 burden. It discloses that the tool can either read (show current score) or write (update score) depending on the parameter. However, it does not mention any side effects, permissions, rate limits, or what happens on error. This is adequate but not rich.

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, with the core purpose in the first line and clear parameter explanations. The use of bullet-like formatting with 'Args:' is helpful. However, the line breaks and spacing could be tighter, and it is front-loaded adequately.

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 two-parameter tool with no output schema and no annotations, the description covers the basic behavior but lacks details about the return value (e.g., format of score), error handling for invalid merchant names, and any rate limits. It is sufficient for basic use but not fully comprehensive.

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 0%, so the description must explain parameters. It does so clearly: merchant_name is the merchant name, and successful_order is an optional boolean indicating success or failure. This adds meaningful context beyond the schema's type and title, though it could include more detail like format expectations.

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 two distinct use cases: checking merchant reliability without the optional parameter, and reporting an experience with it. It uses specific verbs ('prüfen', 'melden') and resource ('Händler-Zuverlässigkeit'), which distinguishes it from sibling tools like compare_offers or create_purchase_intent.

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 each mode based on the presence of successful_order. It does not explicitly mention when not to use the tool or compare it to siblings, but the context of merchant verification vs. other purchase-related tools is clear.

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