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

With no annotations, the description carries the full burden. It usefully discloses output ordering ('changes that need attention come first') and defines what counts as needing attention, which is real behavioral context beyond the schema. However, it is silent on prerequisites (a previous export must exist), the assumed comparison baseline/timeframe, and pagination behavior, leaving meaningful gaps for an unannotated tool.

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?

Three tight sentences: the core comparison is front-loaded, the prioritization rule follows immediately, and the optional scoping parameter is mentioned last. Every sentence adds information with no 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?

With no annotations and no output schema, the description does much of the heavy lifting by describing what changes are returned and their ordering, which effectively substitutes for a return-value spec. It falls short only on operational details such as the prerequisite of an existing prior export and how limits/pagination are applied.

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 baseline is 3, but the description adds genuine meaning by defining 'needs attention' (shortened dates, removed dates, status now customer-specific/extended/out of maintenance), which makes onlyNeedsAttention interpretable, and by clarifying that systems is an optional free-text focus list.

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 (compare) and resource (current vs. previous PAM export) and enumerates the exact change categories reported: new/removed listings, extended/shortened maintenance dates, and status changes. This is clearly distinct from siblings like pam_expiring or pam_summary without needing to open a schema.

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 'compare the current PAM export with the previous one' implies the usage context, and 'optionally focus on a list of systems' hints at scoping, but there is no explicit when-to-use vs. when-not guidance and no named alternatives among the sibling tools (e.g., when to prefer pam_expiring over this).

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 and does reasonably well: it discloses the output content (version match, risk tier, upgrade suggestions) and the exact risk taxonomy (critical/high/medium/low/unknown). It leaves the read-only nature, the 200-item batch ceiling, and any rate/latency behavior to the schema rather than stating them.

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?

Three dense sentences with zero filler: purpose, then the three outputs, then the one caution. The most decision-relevant information (what it checks and against what) 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?

With no annotations and no output schema, the description does the necessary work by enumerating the three return categories and the risk vocabulary. It stops short of covering batch limits, partial-failure behavior, or what a fuzzy vs. exact match looks like in the result.

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, but the description adds genuine meaning: it clarifies that 'systems' accepts free-text design-document entries and that matching is fuzzy, and its mention of the 'medium' tier implicitly explains what warnMonths controls. It does not, however, restate the default of 12 or the 1-60 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?

States a specific verb (check) and resource (a list of SAP systems/components against PAM) plus the enrichment it returns: product version match, support-risk rating, and upgrade options. An agent can tell this is the batch/landscape-ingestion counterpart to pam_get_product or pam_upgrade_options, but the description never names a sibling to make the boundary explicit.

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 names the input scenario clearly ('free text, e.g. from a design document or system list'), which tells the agent when this tool fits. It also adds a workflow caveat ('Fuzzy matches should be confirmed by a person'), but gives no explicit when-not condition or pointer to the single-product siblings for follow-up.

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 usefully discloses the ordering guarantee ('soonest first') and the look-ahead scoping, but says nothing about permissions, dataset coverage, pagination interaction, or whether the default excludes already-ended versions.

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 front-loaded sentence with the selection criterion and sort order, and zero filler. Nothing could be cut without losing meaning.

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 list tool with no annotations and no output schema, the description is close to adequate: it conveys scope and ordering. It stops short of describing what a returned entry contains (version, end date, category), which is the one gap an agent would want filled in the absence of an output schema.

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 all four parameters (limit, months, category, includeAlreadyEnded) are already documented with defaults and ranges. The description only echoes the 'N months' window and does not add semantics for limit, category, or the already-ended toggle. Baseline 3 applies.

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?

Names a specific verb (List) and resource (SAP product versions) plus the exact selection criterion: end of mainstream maintenance within the next N months. That criterion is distinctive enough to separate it from siblings like pam_search_products, though it never names an alternative explicitly.

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 criterion (reach for this when planning around maintenance expiry), but there is no explicit when-to-use statement, no exclusions, and no routing against pam_search_products, pam_upgrade_options, or pam_changes.

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 exist, so the description carries the full load, and it does disclose useful behavior beyond the schema: the return payload (all availability and maintenance dates plus the Support Portal link) and the not-found fallback ('Suggests close names if not found'). It omits any note on permissions, rate limits, or result cardinality, which keeps it out of the top tier.

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, zero filler, with the core purpose and payload front-loaded before the fallback behavior. Every clause 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?

With no output schema, the description correctly enumerates the returned fields, and even covers the failure path via suggested close names. Combined with 100% schema coverage on the lone input parameter, an agent has what it needs to invoke correctly; only permissions/edge-case details 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?

Schema coverage is 100% for the single parameter, so the baseline is 3. The description adds value beyond the schema by clarifying that the value must be the exact PAM name and giving a concrete example format, which reduces invocation errors. It does not document any format edge cases, so it is not a 5.

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 (retrieve one product version's full PAM record) and enumerates the contents: availability dates, maintenance dates, and Support Portal link. The example input format ('SAP NETWEAVER 7.5') makes the granularity unambiguous. It does not explicitly name or contrast itself with the sibling pam_search_products, 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?

The phrase 'exact name as in PAM' implies this is for lookups where the name is already known, which indirectly contrasts with the fuzzy sibling pam_search_products. However, no alternative is named and there is no explicit when-to-use/when-not guidance, so usage is only implied.

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 and does disclose useful behaviour: partial/shorthand-tolerant matching and the shape of the return (support dates, status, risk assessment). It says nothing about pagination, result ordering, or permission/auth needs, leaving meaningful gaps for a no-annotation tool.

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 tightly packed sentences with zero filler; the core action leads and the parenthetical examples earn their space by disambiguating input format.

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 or annotation block, and the description compensates by naming the returned fields and match semantics. It is close to complete for a search tool, with only pagination behaviour and filter interplay left unaddressed.

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 genuine value for the query parameter by clarifying that shorthand forms like 'ECC EHP8' resolve correctly, but it says nothing about how status or category filters interact with the search.

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 ('Search SAP product versions in PAM') and even clarifies matching behaviour with concrete shorthand examples. It does not distinguish itself from siblings like pam_get_product or pam_summary, so an agent must infer the boundary rather than read 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 implied: this is the name-based lookup path for discovering product versions, contrasting implicitly with pam_get_product (single record) and pam_expiring (lifecycle focus). However, no explicit when-to-use, when-not-to-use, or named alternative is 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 carries the full burden. It does disclose the shape of the result (aggregate counts and date-window maintenance forecasts), which is genuine behavioral value for a tool with no output schema, and its aggregate phrasing correctly implies a read-only operation. It says nothing about cost, caching, freshness, or whether the export date is the data cutoff versus a snapshot time.

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 front-loaded sentence that leads with the tool's nature and then enumerates the payload with no filler. The trailing list is dense but each element is informative rather than redundant.

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 read-only tool with no annotations or output schema, the description adequately covers what the call returns. However, it leaves the routing decision against pam_expiring unresolved and omits any indication of scope, so an agent can invoke it but cannot confidently choose it over the overlapping sibling.

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 a single optional parameter and 100% schema description coverage, the schema already fully documents 'category'. The description echoes it ('counts by support status and category') but adds no syntax, defaults, or semantics beyond what the schema states, so the baseline of 3 applies.

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 pair ('Overview of the SAP Product Availability Matrix data') and then enumerates exactly what the overview contains (export date, version counts, support-status and category breakdowns, EOM timelines). The 'overview' framing implicitly separates it from the lookup-oriented siblings (pam_get_product, pam_search_products), though no sibling is named explicitly to make the distinction airtight.

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 when-to-use guidance, no prerequisites, and no named alternatives. This gap is substantive rather than cosmetic: the description promises 'how many reach end of mainstream maintenance in 3/6/12/24 months', which overlaps directly with the sibling pam_expiring, and nothing here tells an agent which of the two to pick.

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 supplied, so the description carries the full burden. It does disclose the shape and content of the result set (three categories of upgrade option, with the ERP -> S/4HANA example), which is real value in the absence of an output schema, but it says nothing about read-only nature, authentication, or behavior for an unknown/unmatched product string.

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?

One front-loaded sentence that opens with the answer to 'what does this return', followed by the three categories and a shorthand note. Dense but every clause carries information; no 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 one-parameter, non-mutating lookup with no output schema and no annotations, the description covers what an agent needs: what is returned, the successor-product nuance, and accepted input formats. Only minor gaps remain (no sibling routing, no statement on unknown-product behavior).

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% for the single parameter, so the baseline is 3, but the description earns an extra point by documenting input flexibility the schema does not: shorthand forms such as 'ECC6 ehp7' and 'BOBJ 4.3' are accepted, telling the agent it need not normalize to the schema's example 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?

The description states a specific resource and scope: upgrade/migration targets for a given SAP product version, enumerated as three concrete categories (newest release, announced version, strategic successor). That content is distinguishable from lookup siblings like pam_get_product or pam_search_products, though those siblings are never named.

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 'What to move to from a given SAP product version', so the agent can infer this is for upgrade-path questions rather than general product lookup. However there is no explicit when-to-use statement, no exclusions, and no routing to pam_get_product or pam_search_products.

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