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

With no annotations, the description still discloses the most important trait — 'Read-only' — plus the data source (HAC application context), which hints that a running HAC/admin context is required. It says nothing about behavior when the bean does not exist, ambiguity resolution when multiple aliases match, or whether the call can be slow against a live context.

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 the safety profile front-loaded ('Read-only') followed by the resource and its source. No filler, nothing to trim.

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, no-output-schema, no-annotation tool, the description covers the resource and its source but leaves the meaning of the required 'name' input and the failure/ambiguity behavior unaddressed. It is workable but not complete enough for confident invocation on the first try.

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 single parameter 'name' is documented nowhere. The description never clarifies whether 'name' means a bean ID, an alias, a fully qualified class name, or a partial match, which is exactly the gap the description should fill for this 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?

States a specific verb and resource: returns the Spring bean implementation and its aliases, read from the HAC application context. That is far more informative than the bare name 'beans_info'. It does not, however, distinguish itself from related siblings such as type_info or config_get, which also inspect runtime/configuration state.

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 statement of when to use this tool, when not to, or which sibling to pick instead (e.g. type_info for class metadata vs beans_info for bean lookups). The only usage signal is the implied 'look up a bean by name', which the agent must infer.

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 clearly states that the tool is read-only and discloses a meaningful security behavior: values for keys matching pass/secret/token/key/credential are masked. It does not explain what 'visible' means regarding permissions or what happens if a requested key is absent, but the core behavioral traits are well covered.

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 short sentences. The read-only constraint is front-loaded, followed by the main behavior and the masking exception, with no wasted wording.

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-only getter with one optional parameter and no output schema, the description covers the essential behavior: key-based lookup, list-all fallback, and secret masking. It could be slightly more complete by defining visibility or missing-key behavior, but it is sufficient for an agent to call 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 0%, so the description must compensate. It explains that the single optional parameter selects a property by key and that omitting it returns all visible keys, adding essential meaning beyond the bare string type in 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 uses a specific verb and resource: 'Return a configuration property by key.' It also clarifies the omitted-key behavior. It does not explicitly distinguish itself from any sibling tool, but the configuration domain is clearly separate from the listed siblings such as logs_tail and cronjob.

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 states the two operational modes: pass a key for one property, or omit it to list all visible keys. This gives clear usage context, though it does not name alternatives 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 does the most important job itself by declaring 'Read-only', which tells the agent this tool will not mutate jobs. It stops there: no mention of permissions, pagination, error behavior when a code is invalid, or what the returned status contains.

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 clauses, front-loaded with the safety profile and then the mode split. Zero 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 two-parameter read-only tool with an output schema absent, the description covers the essentials of invocation but leaves the code parameter's origin undefined and says nothing about return shape or failure modes.

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 compensate. It maps action values to behaviors (list vs status), but the 'code' parameter—the one genuinely ambiguous input—is only obliquely referenced as 'by code', with no indication of where a code comes from or its format.

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?

Specific verb (list/return status) against a specific resource (cronjobs), and it explicitly enumerates the two operating modes keyed to the action enum. It does not differentiate itself from siblings like logs_tail or monitoring_info, which is the only thing keeping it from a 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?

Implies that action=list is the default listing behavior and action=status is used when you have a code, but never states when to prefer this tool over related siblings such as logs_tail or monitoring_info, nor what happens if status is requested without a code.

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 does disclose that the operation is read-only and that translate=true changes the response to generated SQL only. However, it omits permission requirements, query constraints, result limits, and other behavioral details an agent would 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, with the read-only property front-loaded and no wasted text. The brevity does not obscure the core operation.

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?

There is no output schema and no annotations, and the description does not explain return shape, query syntax expectations, or the maxCount limit. For a search tool with three parameters, this leaves important gaps.

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 clarifies only translate; query and maxCount are left unexplained, including the default and maximum result cap of 200.

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 action and resource: running HAC FlexibleSearch against the configured local HAC. It also notes the read-only nature, making the operation distinguishable from unrelated 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?

It explains what translate=true does, but gives no guidance on when to use this tool versus alternatives, nor any exclusions or preconditions for selecting FlexibleSearch.

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 usefully discloses that the operation is read-only and local, and that grep filters tailed source lines. However, it does not clarify whether tailing is a one-shot snapshot or a follow, how errors are handled, or what the return shape is, leaving material behavioral gaps.

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, front-loaded with the read-only safety signal, and every sentence carries useful information without 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?

For a two-parameter tool with no annotations, no output schema, and no schema descriptions, the definition is under-specified. It omits the meaning of lines, the interaction between grep and lines, and any sense of the returned output.

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 document both parameters. It partially explains grep as an optional filter on tailed source lines, but it says nothing about the lines parameter, its default of 200, or its 1–2000 bounds.

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 gives a specific verb and resource: tail the local SAP Commerce/HAC console log. It does not explicitly distinguish this tool from siblings such as monitoring_info or flexible_search, so it stops short of a 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?

It implies usage for viewing recent console logs and mentions an optional grep filter, but it never states when to choose this over monitoring_info or flexible_search, nor any 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 must carry behavior, and it does contribute two real facts: the operation is read-only and the Groovy execution is tenant-scoped. It omits cost/risk context that matters here — e.g., whether a thread dump is expensive or blocking, and what the response shape looks like.

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 the safety constraint ('Read-only.') front-loaded before the resource description. No filler, though the trailing 'via tenant-safe Groovy' is an implementation detail that takes space without changing how the agent calls the 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 simple one-param optional tool this is close, but with no output schema and no annotations the description should at least sketch the return format for each section (structured metrics vs. raw text dump). As written, an agent cannot anticipate the response shape.

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% and the single enum param is otherwise undocumented, so the description carries the full burden. It does compensate by mapping each enum value to a meaning ('dump' → thread-dump, plus cluster/memory/threads/cache), though it never states the default of 'memory' or what each section contains.

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 ('Return') and resource ('diagnostics'), and enumerates the five concrete sections it can deliver, so an agent knows exactly what comes back. It does not explicitly contrast itself with siblings like config_get or beans_info, but the diagnostics framing is distinct enough to separate it.

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 only implied: the enumerated sections hint that this is the tool for cluster/memory/thread/cache inspection, but there is no explicit 'use this when...' or 'prefer config_get for...' guidance. Nothing tells the agent when to pick a sibling instead.

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 does disclose the key trait that this is read-only and that it runs through a 'tenant-safe Groovy template', which hints at isolation and execution model. It says nothing about auth requirements, rate limits, latency, or failure modes for unknown type codes.

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 the safety trait front-loaded, no filler. The 'tenant-safe Groovy template' clause is slightly implementation-flavored but still carries useful signal.

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 read tool with no output schema and no annotations, the definition covers intent but leaves the agent guessing about the type identifier format and the shape of the returned attributes/deployment/subtype data.

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% and the single required 'type' parameter is undocumented in the schema, so the description should explain its expected format (e.g., a type code like 'Product'). It only implies the parameter via 'type attributes' and adds no syntax or naming guidance.

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 and resource: returns SAP Commerce type attributes, deployment data, and subtypes for a given type. This is clearly distinct from siblings like beans_info or config_get, though the description never explicitly contrasts itself with them.

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 indication of when to choose this over flexible_search or beans_info, nor what preconditions (tenant context, permissions) are needed. 'Read-only' implies a safe lookup but gives no routing guidance.

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