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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description adds freshness context ('latest recorded curated-knowledge update') and a repository URL, but much of the rest restates what the output schema returns, adding limited behavioral value beyond the 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 sentences, front-loaded with the returned fields followed by the usage guidance, with essentially no filler. It is appropriately sized for a trivial metadata 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?

With no parameters, annotations covering the safety profile, and an output schema present, the description need not explain return shapes. It covers purpose and one clear use case, so an agent has enough to call it 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 takes zero parameters (100% schema coverage on an empty object), so the baseline is 4 and there is nothing further for the description to clarify about arguments.

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 verb ('Return') and enumerates the exact resources returned (developer, contact email, version, knowledge date, tool count). It is trivially distinguishable from all data-lookup siblings, which return domain data rather than package/author metadata.

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 an explicit use case: 'answer who made, created, built, or developed MCP-Dubai and how to contact its developer.' This is clear context, but no sibling alternative (e.g. get_knowledge_status) is named or excluded, leaving a small inference gap for an agent deciding how to answer metadata questions.

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, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description adds no behavioral context of its own — no result-set size, pagination, ranking, or fallback behavior when filters match nothing — leaving it essentially redundant with the 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?

One sentence, zero filler, filters front-loaded after the verb and resource. Nothing is padded or repeated.

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 a full input schema, complete annotations, and an output schema covering return values, the description is nearly sufficient for a simple read-only search. The remaining gap is routing guidance versus adjacent startup-programming tools.

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% and all three parameters are documented there, including the non-obvious exclusion semantics of free_only. The description only restates 'sector, cost, and location' and adds no format, matching, or defaulting detail, so 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?

States a specific verb (Search) and a specific resource (UAE accelerators and incubators) plus the filterable facets (sector, cost, location). An agent can tell it is a directory lookup distinct from vc_list or grant_programs by resource alone, though no sibling is named 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?

Gives no when-to-use or when-not-to-use guidance and never mentions alternatives such as vc_list, grant_programs, or dcde_programs, which an agent might plausibly confuse for startup-support searches. Usage is only implied by the word 'Search'.

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, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds nothing behavioral: it does not say whether a missing name_ar/title_ar falls back to the English value, whether output is plain text or structured lines, or how honorific/name ordering is assembled. With an output schema present, return format is excused, but the Arabic-fallback question is a real gap.

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 eleven-word sentence with the resource and locale front-loaded and zero filler. It is efficient, though the terseness leaves gaps that belong in the other dimensions.

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?

Annotations and a full-coverage schema plus an output schema mean basic callability is fine. For a 7-parameter composition tool, though, the description leaves open how the optional Arabic halves interact with the required English name, which is exactly the kind of guidance a composition tool needs.

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% and every one of the seven properties carries a description (including the pointer to list_honorifics), so the schema does the heavy lifting. The description adds no meaning beyond that — nothing about pairing rules between name/name_ar or title/title_ar.

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 verb and resource ("Build a bilingual addressee block") and scopes it to "a UAE business letter," which is far more concrete than the bare tool name. It stops short of naming how it differs from nearby siblings like business_letter_template or list_honorifics, so an agent must infer 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 phrase "for a UAE business letter" implies the use case, but there is no explicit when-to-use, no indication of when to prefer business_letter_template instead, and no note that list_honorifics should be consulted for the honorific id (that hint lives only in the schema).

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, so the safety profile is covered. The one genuine addition is the 'closest WAQI station' resolution behavior, which tells the agent the result is nearest-match rather than exact-point. No detail on coverage gaps or error behavior when no station exists.

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 sentence with zero filler, front-loading the action and the key qualifier (closest station). 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?

With rich annotations and an output schema present, the definition doesn't need to explain return values. It is nearly complete for a two-parameter read tool, lacking only a note on station coverage/fallback behavior if no station is near the coordinates.

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 both latitude and longitude are already documented as decimal degrees. The description restates the lat/lon concept without adding format, range, or coordinate-system specifics beyond the schema. 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?

States a specific verb (Get), resource (air quality), and the precise scope (closest WAQI station to a given lat/lon). It implicitly differentiates from the Dubai-specific siblings by being coordinate-driven, but never names air_quality_dubai or weather_by_coords to make the routing 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?

Usage is implied rather than stated: an agent can infer this is for arbitrary coordinates. There is no explicit when-to-use vs air_quality_dubai or air_quality_dubai_stations, and no note on what happens when no station is nearby.

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=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety and repeat-call profile is covered. The description's one genuine addition beyond structured data is 'real-time' (data freshness), which is useful but thin — no mention of update cadence, caching, or data source.

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, front-loaded with the purpose. However, the second sentence enumerates return fields (AQI, pollutants, dominant pollutant) that the existing output schema already carries, which is mild redundancy rather than waste.

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 an output schema, rich annotations, and full schema coverage on the one parameter, the description only needs to supply purpose and freshness — both present. The residual gap is routing among the three air-quality siblings, which the description does not address.

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% and the single station parameter already documents its default and valid IDs, so the baseline is 3. The description only restates 'for a Dubai station' and adds no syntax, default, or selection guidance 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?

States a specific verb and resource with scope: 'Get real-time air quality for a Dubai station.' That is clearly distinct from air_quality_by_coords, but the description never names or contrasts with its two closest siblings (air_quality_by_coords, air_quality_dubai_stations), so differentiation is left to the agent's inference from names.

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?

'for a Dubai station' implies station-keyed lookup as opposed to the coordinate-based sibling, which is implied routing rather than stated guidance. There is no explicit when-to-use, no note that air_quality_dubai_stations may be needed to discover valid station IDs, and no 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?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description only adds that the set is a closed, supported list; it says nothing about ordering, caching, or size of the result set.

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 sentence, front-loaded with the verb and resource, with zero filler. Nothing to trim and nothing buried.

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?

An output schema exists, so return values need not be explained, and with no parameters and full annotation coverage the definition is nearly sufficient. The only gap is that it never connects the listed stations to the air_quality_dubai call that consumes them.

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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 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?

Clear verb ('List') plus a specific resource ('supported Dubai air quality stations'), so the agent knows exactly what comes back. It does not, however, distinguish itself from the sibling air_quality_dubai tool, which presumably consumes these station identifiers.

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 when-to-use guidance and no routing to or from the sibling air_quality_dubai tool. The word 'supported' hints that this enumerates the valid station identifiers, but the agent must infer that this is a prerequisite discovery call.

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 establish that this is a safe, read-only, idempotent lookup, and the description adds useful domain behavior by explaining that DNFBP categories are flagged for goAML registration. It does not describe error behavior for unknown categories, but the output schema reduces the need to describe return values here.

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 compact and front-loaded: the purpose appears first, followed immediately by the key DNFBP/goAML behavior. The category list earns its place by helping the caller choose a valid business_category value.

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 lookup with annotations and an output schema, the description covers the core purpose, key behavioral trait, and example categories. It is nearly complete, with only minor gaps around category matching semantics and default 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 description coverage is 0%, so the description must carry the burden for the single business_category parameter. It does add useful common values such as real_estate, precious_metals, auditor, and lawyer, but it does not clarify whether these are exhaustive accepted values, whether matching is exact, or what the default 'general' returns.

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 verb and resource: return AML/CFT requirements for a business category. It also clarifies that DNFBP categories requiring goAML registration are flagged. It does not explicitly distinguish itself from nearby compliance siblings such as ubo_filing_guide or pdpl_compliance, so it falls 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?

Usage is implied: call this when you need AML/CFT requirements for a business category, especially to check DNFBP/goAML registration obligations. However, there is no explicit when-to-use, when-not-to-use, or named alternative among the many compliance tools in the sibling 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?

Annotations already declare read-only, idempotent, non-destructive, and closed-world behavior. The description adds useful behavioral context by stating that it returns an ordered list of six tool calls plus synthesis instructions and should be followed by synthesize_report.

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 and compact: it states purpose, return shape, and the required follow-up workflow in three short sentences. There is no wasted text.

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 meta-planning tool with an output schema, the description sufficiently covers what is returned, which sibling tools are orchestrated, and the required next step. Nothing essential for correct invocation appears to be 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?

Schema description coverage is 100%, so activity, industry, and budget_aed are already documented in the schema. The description does not add parameter-level meaning beyond that baseline, so a 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 states a specific verb and resource: building a cross-tool analysis plan for a founder setup decision. It also names the exact six tools included in the plan, making it clearly distinguishable from sibling tools like setup_advisor or synthesize_report.

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 clearly explains the workflow: execute the returned plan, then call synthesize_report. It does not explicitly say when not to use this tool versus calling individual sibling tools directly, so it falls short of full alternative 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?

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the description's added value is the domain caveat: no Hague Apostille membership as of September 2026, and a digital route for eligible UAE-issued documents. The word 'illustrative' usefully signals the output is generic guidance rather than a definitive per-case ruling, which is real behavioral disclosure beyond the 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?

The purpose is front-loaded in the opening sentence and the remaining three lines are compact, high-signal domain context. Line breaks are odd for a two-paragraph description but nothing is padded or repetitive.

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?

An output schema exists so return values need not be described, both params are fully documented, and annotations carry the safety profile. The description adds the key domain premise and a freshness date. The only gap is guidance on what to do when the guide does not cover a specific receiving authority.

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 both parameters (home_country, document_type) are already documented, and the description only alludes to them via 'the document, issuing country and receiving authority'. It adds no syntax, precedence, or format detail beyond the schema, which is the baseline-3 case.

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 first sentence gives a specific verb+resource pairing ('Explain UAE document attestation routes') plus an explicit scope note that foreign chains are illustrative. This is clearly distinguishable from the other guide-style siblings (ejari_guide, nol_card_guide, submission_guide) by domain. It stops short of naming a sibling it should be preferred over.

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 explains that 'steps depend on the document, issuing country and receiving authority', which implies when the tool's answer varies, but never states when to call this versus a sibling guide or a lookup tool. No exclusions or alternatives are given, so usage is only inferable.

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, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds only the notion of a "curated" record (complete vs. summary), and discloses nothing about freshness, caching, or failure behavior for an unknown id.

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 tightly written sentence with no filler and the resource front-loaded. It is not padded, but it is also close to the minimum viable length for a tool of this scope.

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 an output schema present and 100% parameter documentation, return values and the single argument need no prose. The remaining gap is routing: nothing tells the agent to call list_banks first to obtain a valid slug, leaving a discovery hole in an otherwise well-structured definition.

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% and the bank_id property already carries a rich slug list of examples, so the schema does the heavy lifting. The description adds no format, constraint, or lookup-hint information beyond what the schema provides, which is the expected baseline.

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 ("Get") and a specific resource ("the full curated record for a UAE business bank"), which is clearly distinguishable from list_banks (enumeration) and bank_recommendation (advisory). However, it never names those siblings, so the differentiation is only implicit.

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 "full curated record" implies this is the detail-fetch that follows a listing, but the description gives no explicit when-to-use, no pointer to list_banks for discovering a valid bank_id, and no exclusion relative to bank_recommendation. Usage is only inferable.

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=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the ranking dimensions but nothing beyond the schema, and does not note behaviors such as how high-risk flagging affects results. With annotations carrying the behavioral burden, a 3 is appropriate.

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 no padding. It is efficient, though it is arguably too terse for a six-parameter recommendation tool and leaves room for a clause on scope or output.

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?

An output schema and rich annotations are present, so return values and safety need not be described. Still, for a recommendation tool with six optional parameters and no required inputs, the description leaves the agent to infer call behavior and ranking logic entirely from the 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 six parameters (tier, limit, industry, is_high_risk, speed_priority, budget_min_balance_aed) are already documented in the schema. The description names three related concepts but adds no syntax or filtering nuance beyond what the schema provides, so the baseline 3 is correct.

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 (Recommend) and resource (UAE business banks) plus the ranking factors (industry, minimum balance budget, onboarding speed). This reasonably distinguishes it from siblings list_banks and bank_details, though it does not explicitly name 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?

Usage is implied by 'recommend ... based on' – the agent can infer it should be used when seeking a ranked shortlist rather than raw listings. However there is no explicit when-to-use vs when-not, and no mention of list_banks/bank_details as alternatives for comparison.

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 this a safe, read-only, idempotent, closed-world generator, so the safety profile is covered. The description adds one genuinely useful behavioral fact - that the output is a template with side-by-side EN/AR blocks the LLM must fill in - but says nothing about determinism of the placeholders, validation of honorific ids, or behavior on unusual inputs.

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 short sentences, front-loaded with the purpose statement and with no filler. The final sentence about UAE formal correspondence conventions is slightly soft but does establish the stylistic basis of the output.

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?

An output schema exists, so return values need not be explained, and 100% schema coverage handles the parameters. What is missing is integration context: the description never tells the agent that honorific ids should come from list_honorifics or how this tool relates to addressee_block and list_salutations.

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 nine parameters are already documented in the schema (opening/closing styles, honorific ids, sender placeholders, optional subject_ar). The description adds no parameter-level detail beyond the schema - for example, it never links the 'honorific' parameter to the list_honorifics sibling that supplies valid ids. 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 states a specific verb and resource: 'Build a bilingual UAE business letter template (English + Arabic)', which is concrete and distinguishable from data-lookup siblings like list_honorifics or addressee_block. It does not, however, explicitly name or differentiate itself from those closely related sibling tools, 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?

There is no when-to-use guidance, no stated prerequisites, and no mention of alternatives. The presence of sibling tools such as list_honorifics (which supplies the honorific ids this tool accepts) and addressee_block makes the absence of routing guidance a real gap.

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, idempotentHint and openWorldHint, so the safety and idempotency profile is covered. The description adds the useful 'current' qualifier (no historical data), but adds nothing about freshness, latency, or failure behavior for an open-world external call.

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 short sentence with the core purpose front-loaded, plus a brief return note. The 'Returns: Dict with base_rate_percent...' line is largely redundant given an output schema exists, but it costs little.

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 no-parameter, read-only lookup with an output schema and full annotations, the description is nearly sufficient. The only meaningful gap is not explaining how 'current' is sourced or differentiated from the sibling exchange-rate tools.

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 takes zero parameters, so the baseline of 4 applies. There is nothing for the description to disambiguate at the input level.

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 ('Get the current CBUAE base rate') with the unit (percentage) made explicit. It does not distinguish itself from sibling rate tools such as cbuae_exchange_rates, so an agent must infer the difference from names alone.

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 word 'current' implies a point-in-time lookup rather than historical series, which is a usable hint. However, there is no explicit when-to-use statement, no mention of when-not to use it, and no pointer to cbuae_exchange_rates or currency_rates as alternatives.

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, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered. The description adds the ~75-currency breadth and the historical-date capability, which is modest added context, but says nothing about rate source granularity, update cadence, or behavior on weekends/holidays when CBUAE may not publish.

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 sentence, front-loaded with the verb and resource, and every clause (source, temporal scope, currency count) carries information. No filler or redundancy.

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?

An output schema exists, so return-shape explanation is unnecessary, and the annotations cover safety. For a one-optional-param lookup tool the description is nearly sufficient; the only missing piece is disambiguation from the other currency tools.

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% and the single optional parameter already documents 'ISO date YYYY-MM-DD. Omit for today's rates.' The description restates the today/historical choice without adding format, range limits, or behavior for non-published dates, so 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?

States a specific verb and resource ('Get CBUAE exchange rates') with scope details (today or a historical date, ~75 currencies). The CBUAE qualifier distinguishes it from the generic currency_rates sibling, but it never names or contrasts with cbuae_base_rate, currency_rates, or currency_convert, so an agent must infer which source to pick.

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 usage through 'today or a historical date', telling the agent this covers both current and dated lookups. However, it gives no explicit when-to-use/when-not guidance and no routing to currency_convert or cbuae_base_rate, which is a real ambiguity given three overlapping currency 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?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds substantive domain content (mandatory membership, AED 700–2,200 fee tiers) but discloses no behavioral traits such as data source, currency/freshness of rules, or whether fees are jurisdiction-specific.

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 short sentences with the core action front-loaded and no filler. Size is appropriate for a knowledge lookup; only the slight redundancy of restating the DCDE/Dubai Chamber distinction keeps it from a 5.

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?

An output schema exists, so return values need not be explained, and the description is adequate for a simple no-param lookup. What is missing is any differentiation from the overlapping 'chamber_of_commerce_info' sibling, leaving the agent to guess which one answers a Chamber-membership question.

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 takes zero parameters, so there is nothing to disambiguate and the schema is trivially complete. Baseline 4 applies for a no-parameter 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?

The first sentence gives a specific verb and resource ('Return Dubai chamber membership rules'), which is unambiguous. The follow-up sentences narrow the domain to Dubai Chamber of Commerce rather than DCDE. However, it never distinguishes itself from the very similar sibling 'chamber_of_commerce_info', which limits sibling differentiation.

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 note that 'DCDE has no standalone membership scheme' steers the agent toward Dubai Chamber, which is a useful routing hint. But there is no explicit statement of when to pick this over 'chamber_of_commerce_info' or any prerequisite/exclusion.

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, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered structurally. The description adds nothing beyond that — no auth requirements, no rate limits, no scope caveats, and no hint about whether the two data sets (membership vs. Certificate of Origin) are returned together or conditionally.

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 tight sentence with no filler, front-loaded with the verb. It is efficient, though its brevity contributes to the vagueness noted elsewhere rather than being a pure virtue.

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?

An output schema exists, so return values needn't be documented. Still, for a no-arg tool that visibly overlaps with `chamber_membership`, the description leaves the agent unable to tell why both exist or which to call — a real gap given the sibling list.

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 takes zero parameters, so the schema is complete by definition and the description has no parameter semantics to add. Baseline 4 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 generic verb ('Return') and a resource ('Dubai Chamber of Commerce membership and Certificate of Origin info'), which does convey the subject matter. However, nothing distinguishes it from the sibling `chamber_membership`, and 'info' is vague about what is actually returned. An agent cannot confidently route between the two chamber-related tools from the text alone.

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 mention of the obvious alternative `chamber_membership`. The agent is left to infer the selection criteria entirely.

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 this as read-only, idempotent, non-destructive, and closed-world. The description adds that the result is a fixed list of 10 mistakes focused on Dubai setups, but it does not add further behavioral context such as filtering behavior or source limitations.

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?

It is a single front-loaded sentence with no redundant or filler language. Every word contributes to the tool's purpose and scope.

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 tool is simple, has rich annotations, full parameter schema coverage, and an output schema, so the description is nearly complete for invocation. It could mention the optional category filter, but that detail is already handled by the 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%, and the single optional category parameter is fully documented in the schema as a substring filter. The description adds no parameter-specific meaning beyond the schema, 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?

The description uses a specific verb and resource: 'List 10 common founder mistakes that break Dubai setups.' It is clear what the tool returns, though it does not explicitly distinguish itself from adjacent advisory or planning tools such as setup_advisor or analyze_setup_decision.

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 gives no guidance on when to use this tool versus alternatives, nor any exclusions. Usage is only implied by the topic, which is a gap in a large sibling toolset.

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, non-destructive and closed-world, so safety is covered. The description adds only that results come back ranked, without explaining the ranking basis, scoring criteria, or what happens when filters eliminate every zone.

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 tight sentence with the output form front-loaded. Nothing redundant, nothing wasted.

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 a full output schema, rich annotations and 100% parameter coverage, the description only needs to convey intent and it does. The one gap is that the ranking logic driving the shortlist is unexplained.

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 defines limit, sector, budget_aed, visa_count and needs_physical_office. The description adds no meaning beyond the schema – notably nothing about how budget or visa_count influence the ranking.

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 (Dubai free zones) plus the output shape (ranked shortlist), which distinguishes it from list_free_zones and free_zone_details by implication. It never names those siblings explicitly, so the differentiation is left for the agent to infer.

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?

"For a specific use case" hints that this is the decision-support tool versus the raw listing tools, but no when/when-not condition or alternative is spelled out. An agent must guess that list_free_zones/free_zone_details are the non-comparison paths.

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 establish that this is a safe, idempotent, closed-world read, so the description's job is to add domain behavior — and it does, disclosing the AED 375,000 band, the 9% rate, and that QFZPs get 0% on Qualifying Income with no ordinary band. It stops short of noting what the estimate ignores (e.g., small-business relief, foreign tax credits) or that inputs drive branching outcomes.

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, front-loaded with the legal basis, then the two computation branches. No filler; every clause conveys a rule that affects the result.

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 an output schema present and full parameter coverage, the description need not restate inputs or returns, and the tax-branch explanation is sufficient to invoke the tool. It could be stronger by flagging that other reliefs (e.g., small-business relief) are out of scope and by pointing to qfzp_check for status confirmation.

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% and the field descriptions are already detailed (including the is_qfzp inference rule and the SaaS warning), so the baseline is 3. The description explains the QFZP vs ordinary treatment scheme that the parameters control, but never ties that logic back to named parameters, adding little 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 names a specific verb and resource ('Estimate UAE corporate tax liability') and anchors it to Federal Decree-Law 47 of 2022, so the intent is unambiguous. It does not, however, differentiate itself from the closely related 'qfzp_check' or 'late_payment_penalty_estimate' siblings, which an agent choosing among tax tools would benefit from.

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 calculation rules (ordinary persons vs QFZPs) and the closing instruction to 'Confirm QFZP status and income classification.' But there is no explicit when-to-use versus an alternative (e.g., route to qfzp_check to establish status first, or to vat_filing_calendar for VAT), and no stated preconditions 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is settled. The description adds useful content context by disclosing the exact shape of the output (ranges per category plus three household budget samples), which goes beyond what annotations convey.

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 no filler; the enumeration of categories and the sample-budget addendum each carry information. It is efficient and appropriately sized for a no-argument informational 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?

With zero parameters, annotations covering the safety profile, and an output schema present, the description only needs to convey what the tool provides, which it does clearly. The one gap is the absence of routing guidance against the many component estimators.

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 takes zero parameters, so per the rubric the baseline is 4. There are no parameter semantics to describe and none are missing.

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 resource (cost-of-living ranges) and enumerates the covered categories (rent, utilities, groceries, transport, schooling) plus sample monthly budgets. It is unambiguous what the tool returns, though it never explicitly distinguishes itself from the granular sibling estimators like rent_estimate or grocery_estimate.

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 when-to-use guidance and no alternatives named, despite numerous related siblings (rent_estimate, dewa_bill_estimate, grocery_estimate, school_fee_estimate). An agent must infer that this is the aggregated overview versus the per-item estimators.

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 cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description goes well beyond them by disclosing the record's state (cycle 3 registration closed, finalist phase), the origin of the data (operated by DCDE, structured timeline vs. stale FAQ), and explicitly warning that the returned record flags an inconsistency and advises reconfirming — genuinely useful behavioral 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?

Purpose is front-loaded in the first sentence, which is good, but the following sentences enumerate record contents (twelve finalists, 14 April 2026, finals scheduled 7 October 2026) that the output schema already returns. That detail is aimed at the agent's downstream use rather than tool selection, so it is partially redundant padding.

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 an output schema present, zero parameters, and full annotation coverage, the agent needs little more than the resource identity plus any freshness caveat — both of which are supplied. The description is complete for calling the tool correctly; only the lack of explicit routing guidance keeps it off a 5.

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 and schema coverage is 100%, so the baseline of 4 applies. Nothing in the description is needed to clarify inputs, and it correctly avoids inventing parameter semantics.

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 ('Return Create Apps Championship details') scoped to 'the current cycle', which clearly distinguishes it from loosely related siblings like gitex_info, startup_events, and dcde_programs. It never names a sibling it is not, but the resource is unique enough that an agent can route to it without confusion.

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 'for the current cycle' and by the competition-status narrative, but there is no explicit when-to-use/when-not-to-use guidance and no named alternative. For a zero-parameter read of a single record, implicit guidance is tolerable, so a 3 is fair rather than a 2.

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 this a read-only, idempotent, non-destructive operation, so the safety profile is covered. The description adds one genuinely useful fact beyond the structured data — 'no key' required — but says nothing about the rate source, freshness, or how invalid currency codes are handled.

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 no filler; the core verb+resource leads and the default pair follows. The trailing parenthetical is slightly crammed but does not waste words.

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 an output schema present, return values need not be explained, and annotations cover the safety profile. For a three-parameter conversion tool this is nearly sufficient; only the rate provenance and error behavior for bad codes are unstated.

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 three parameters (amount, to_currency, from_currency) are already documented with types, defaults, and constraints. The description's mention of the AED→USD default merely restates the schema defaults and adds no new syntax or format information.

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 ('Convert an amount between two currencies') and names the default pair (AED to USD), so an agent immediately knows the operation. It does not, however, distinguish itself from the sibling currency_rates or cbuae_exchange_rates, so it falls 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?

There is no when-to-use guidance and no mention of any alternative. The parenthetical about defaults and 'no key' describes behavior, not the conditions under which an agent should pick this tool over currency_rates — that choice is left entirely to inference.

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/non-destructive/open-world, so the safety profile is covered. The description adds useful auth context ('no key') and hints that rates are everyday rather than central-bank official, but says nothing about rate freshness, update cadence, or currency coverage.

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 core capability and default are front-loaded, and every clause carries information (default, no key, sibling relationship). 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 read-only tool with an output schema and full annotations, this is close to sufficient. The remaining gap is ambiguity around what 'everyday' rates mean (source, freshness, currency set), which an agent would want before trusting results.

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% and the single parameter already documents ISO 4217 codes, case-insensitivity, and the AED default. The description only restates the default, adding nothing beyond the schema; 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?

States a specific resource (exchange rates) and its scoping unit (a base currency, defaulting to AED). The closing reference to the 'official cbuae central-bank rate tools' signals it is a distinct, non-official counterpart, though it never explicitly says how the two differ in data source.

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?

'Everyday' rates versus 'official cbuae' rates implies a usage distinction but never spells out when to pick this tool over cbuae_exchange_rates, cbuae_base_rate, or currency_convert (which converts amounts rather than listing rates). The agent must infer the choice from adjectives alone.

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 cover readOnly, idempotent, openWorld and non-destructive, so the bar is lower. The description still adds two traits not in the annotations: '(no credentials)' discloses that no auth is required, and 'Filtering is client-side' warns that the search is applied locally rather than server-side, which affects expectations about result sets.

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 short sentences, front-loaded with the core action; the definition of issuing entities and the client-side filtering note each carry distinct information. No filler or restatement of the tool name.

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?

An output schema exists, so return values need no explanation. The description covers what the tool returns (entity list), the optional filter behavior, and the auth posture - everything an agent needs before calling a zero-required-parameter read tool.

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% and the single parameter is fully documented, so the baseline is 3. The description goes beyond the schema by noting the filter is optional and executed client-side - the schema only describes substring matching semantics, not where the filter runs.

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 ('List data.dubai issuing entities') and then defines the resource concretely: publishers behind the catalog, with named examples (RTA, DEWA, Dubai Police, 70+ more). This is distinguishable from siblings like data_dubai_search and data_dubai_themes, which operate on the catalog contents rather than the publishers.

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 - an agent can infer this is the discovery call for publishers - and the parenthetical '(no credentials)' hints at when it is safe/appropriate to use. However, it never names the adjacent tools (data_dubai_search, data_dubai_themes) or states an exclusion, so the agent must infer the boundary itself.

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, so the safety profile is covered. The description adds genuinely new behavioral context beyond that: no credentials are required for the search itself, only metadata is returned, downstream dataset APIs do require Dubai Pulse/DDSE credentials, and the catalog size is 600+ entries. Pagination/rate-limit behavior is still unmentioned, keeping it out of the top band.

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?

Four short sentences, front-loaded with the core action and immediately followed by the scope and credential caveat. The "portal that replaced Dubai Pulse" sentence is contextual padding but plausibly aids routing; nothing else is wasted.

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 paginated, read-only search tool with an output schema and full annotation coverage, the description supplies everything an agent needs: what is searched, that results are metadata only, and that credentials gate the actual data APIs. Return-value details are correctly left to the 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% — query, page, and page_size are each fully documented in the schema, including defaults and the 1-100 range. The description adds no parameter-level detail (no query syntax, no paging guidance), so the 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?

States a specific verb and resource ("Search the data.dubai catalog for dataset metadata") plus scope (600+ dataset descriptions) and an explicit boundary ("METADATA ONLY"). An agent can distinguish this from sibling catalog tools such as data_dubai_themes, data_dubai_entities, and fcsc_search_dataset without opening any 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 description gives useful context that this portal replaced Dubai Pulse and that credentials are not needed here but are needed for the underlying dataset APIs, which implies when this tool is appropriate. However, it never names an alternative sibling (e.g. data_dubai_themes or data_dubai_entities) or states when NOT to use it, so routing between the catalog siblings is left to inference.

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/non-destructive/openWorld, so the safety profile is covered. The description adds the non-obvious fact that no credentials are required and describes the shape of the result (eleven themes, bilingual titles, dataset counts), which is genuinely useful context beyond the 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 the core action and the credential constraint front-loaded and the payload detail second. Nothing is wasted and nothing is buried.

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 listing tool with a full output schema and rich annotations, the description supplies what an agent needs: what it returns, how many items, and that it needs no auth. Only the absence of any routing hint toward related data.dubai tools keeps it from fully complete.

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 takes no parameters and the input schema is empty, so there is nothing to document; baseline 4 applies. No parameter-level detail is expected or missing.

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 ('List the data.dubai catalog themes') plus the payload ('with dataset counts'), which clearly distinguishes it from data_dubai_search and data_dubai_entities. It never names a sibling explicitly, so an agent must infer the boundary, keeping it just short of 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?

Usage is only implied: the tool is an entry point for browsing the theme taxonomy. There is no statement of when to prefer it over data_dubai_search, nor any exclusion. The '(no credentials)' note helps an agent know it can always be called, but that is a precondition, not 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?

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds nothing behavioral beyond that: it does not say what happens when program_id is omitted (list all vs. error), what breadth of content is returned, or any coverage limits.

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 zero filler — nothing is wasted. It is arguably too terse for a tool whose behavior changes depending on whether the optional id is supplied, but it is appropriately sized for the lookup it names.

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 an output schema present, return values need not be explained, and the sole parameter is fully documented in the schema. The remaining gap is the omitted-id behavior and sibling differentiation, which are minor for such a simple, low-risk read tool.

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% and the schema itself enumerates concrete example ids ("dubai_founders_hq", "antler_residency", etc.), so the parameter is already well documented. The description adds no syntax, matching, or defaults information beyond the schema, which is the expected baseline when the schema does the heavy lifting.

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 ("Look up") and a specific resource ("Dubai Chamber of Digital Economy programs"), which is clear enough for an agent to recognize the domain. However, it does not distinguish itself from related siblings such as accelerator_search, grant_programs, or createapps_championship, leaving overlap to inference.

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 offers no when-to-use or when-not-to-use guidance and names no alternatives. In a sibling set containing accelerator_search, grant_programs, and startup_events, the agent gets no signal about which tool covers DCDE programs versus these adjacent resources.

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, non-destructive, and closed-world, so the safety profile is fully covered. The description adds that the result includes a housing-fee explanation and an electricity slab table, which is useful context. However, the season-dependent AC multiplier note lives in the schema, and nothing beyond that is disclosed about calculation basis or caveats.

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 sentence that leads with the core resource and then lists the returned payload; no filler, no restatement of the tool name.

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 rich annotations, a full parameter schema, and an output schema covering the return shape, the description supplies what an agent needs to invoke the tool correctly. It is slightly thin on scope boundaries against neighbouring estimate tools, but nothing essential 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?

Schema description coverage is 100%, so both parameters (season, unit_size) are already fully documented with their allowed values and defaults, including the summer AC multiplier note. Baseline 3 applies because the description adds nothing beyond what the schema provides for 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 names a specific resource and scope: the typical monthly DEWA bill for a given unit size, plus the returned components (housing-fee explanation, electricity slab table). An agent can distinguish it from generic cost tools like cost_of_living_overview. It stops short of naming any sibling it is not, so it lands at 4 rather than 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?

There is no statement of when to use this tool versus alternatives such as cost_of_living_overview, rent_estimate, or grocery_estimate, and no mention of preconditions or the season/unit-size defaults. Usage is only inferable from the tool name.

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 cover the safety profile (readOnly, idempotent, non-destructive, openWorld), so the bar is lower, and the description clears it: it discloses that data may be delayed, that the intraday open/high/low summary is computed client-side (i.e. not authoritative API output), that no API key is needed, and adds a not-investment-advice disclaimer.

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?

Front-loaded with the purpose, followed by the return payload and then caveats, with essentially no wasted clauses. Minor slack from the slight 'Latest/newest' redundancy and the parenthetical '(no key)' interrupting the opening sentence.

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?

An output schema exists so return values need not be spelled out, yet the description helpfully summarizes them anyway; annotations cover safety and the description adds freshness, auth, and computation caveats. It could go slightly further on units/freshness granularity, but nothing needed to call a zero-argument tool 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?

The tool takes zero parameters, which is the baseline 4 case. The description correctly does not invent parameter semantics, and the empty schema with additionalProperties=false is self-consistent with the described no-input snapshot behavior.

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 names a specific verb ('Returns the newest index value') and a precise resource (the DFM General Index), and even enumerates the returned fields. It differentiates itself implicitly from quotational siblings like dfm_stock_quote by scoping to the index rather than a single security, but 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 resource scope (a market-wide index snapshot), and the parenthetical '(no key)' tells the agent no credentials are required. However, there is no explicit when-to-use guidance and no statement of when to prefer this over dfm_stock_quote or dfm_list_securities.

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, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds one genuine behavioral note — "(no key)", meaning no authentication/API key is needed — but says nothing about pagination or the 50-item cap, which the schema happens to carry instead.

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 sentence, front-loaded with the verb and resource, with no filler. The trailing parenthetical "(no key)" is compact but slightly cryptic in placement, keeping it just below a perfect score.

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 an output schema present and annotations covering safety, the description need only cover scope and filtering, which it does. The remaining gap is sibling disambiguation against dfm_stock_quote/dfm_index, which is not addressed.

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% and the single `search` parameter is documented in detail (case-insensitive substring on symbol or name, empty → first 50 alphabetical, total count reported). The description only restates "filtered by symbol or name", adding no format or matching semantics beyond the schema, so the 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?

States a specific verb and resource ("List DFM-listed securities") plus the filter dimension (symbol or name), which reads clearly against siblings like dfm_stock_quote or dfm_index. It stops short of explicitly distinguishing itself from those siblings, so an agent must infer that this is a bulk enumeration rather than a single-quote lookup.

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 word "optionally" tells the agent the filter is not required, which is minimal usage guidance. It never says when to prefer this over dfm_stock_quote or dfm_index, nor what to do after listing, so the routing decision is left to inference.

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/non-destructive, so the safety profile is covered. The description adds real behavioral context beyond them: the quote is 'trimmed' (partial field set), data may be delayed, and no API key is required.

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, front-loaded with what the tool returns and followed by caveats. No wasted clauses, though 'trimmed' and '(no key)' are terse enough to be slightly ambiguous on first read.

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?

Output schema exists, so return fields need not be enumerated, and the delay/no-key caveats cover the main gotchas for a single-param read tool. Minor gap: no mention of currency or the fact that it returns only one security's snapshot vs a batch.

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 one parameter and 100% schema description coverage (case-insensitivity, DFM ticker examples, near-match failure behavior), the schema carries the semantics. The description only restates 'by ticker symbol' and adds nothing beyond it, so 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?

States a specific verb+resource: a live quote for one DFM-listed security, scoped to a single ticker. This implicitly separates it from dfm_list_securities (enumerate) and dfm_index (index-level), but it never names those siblings or states the distinction 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?

There is no when-to-use guidance and no alternatives named, despite two obvious siblings (dfm_list_securities, dfm_index). The only usage-relevant note is the delay/investment-advice disclaimer, which is a caveat rather than 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?

Annotations already cover read-only, idempotent, non-destructive, and open-world behavior, so the bar is lower. The description adds a genuinely useful operational fact beyond the annotations: Dubai Pulse credentials are required before invoking. It does not mention pagination behavior for the default limit of 50.

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 lines, front-loaded with the purpose followed by the credential prerequisite; nothing is padded. The phrase 'Tier 1 tool' is internal jargon that carries little meaning for an agent.

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?

An output schema exists, so return values need not be described, and the schema fully documents inputs. What the agent gets is purpose plus a hard credential gate, which is sufficient to decide whether to call it; only search-behavior detail is thin.

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 three parameters (name substring, license_number, limit) are already documented in the schema. The description adds no filtering semantics, such as whether filters combine or whether name is a substring match.

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: looking up RERA-registered Dubai brokers, which is clearly distinct from siblings like dld_search_transactions and dld_search_rent_contracts. It does not, however, explicitly contrast itself with any sibling or clarify the broker-registry scope versus transaction data.

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 prerequisite ('requires Dubai Pulse credentials') gives an actionable gating condition, but there is no statement of when to use this over related DLD/RERA tools, nor any exclusion criteria. Usage is only implied by the tool's domain.

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 the safety profile (readOnly, idempotent, openWorld, non-destructive), so the bar is lower. The description adds a genuine operational fact — it is a Tier 1 tool needing Dubai Pulse credentials — but says nothing about pagination, filtering behavior, or result volume.

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 resource and data source front-loaded; nothing is padded. It could arguably be one sentence, but there is no waste.

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?

An output schema exists, so return values need not be explained, and annotations cover safety. However, for a search tool with geography and bedroom filters, the description omits any hint of scope breadth or how filters combine, leaving it only minimally adequate.

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 each parameter (area, limit, bedrooms) is already documented in the schema. The description adds no additional semantic detail beyond what the structured fields provide, which is the baseline-3 case.

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 (Search) and resource (DLD rent contracts / Ejari data) plus the data source (Dubai Pulse). This distinguishes it from dld_search_transactions, though the description never names that sibling explicitly to make the boundary 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?

The description offers only a prerequisite ('requires Dubai Pulse credentials'), not usage guidance. It never says when to choose this over dld_search_transactions, rent_estimate, or ejari_guide, nor when not to use it.

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 cover read-only, idempotent, non-destructive and open-world behavior, and the description adds genuinely new context: the Dubai Pulse credential requirement and that a structured error is returned when the client ID/secret are unset. It stops short of describing result volume or pagination behavior for a limit-capped list 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?

Front-loaded with the purpose in the first sentence, followed by two short operational facts; nothing is redundant or padded. 'Tier 1 tool' is internal catalogue jargon with unclear value to an invoking agent, a minor blemish on otherwise tight prose.

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?

An output schema exists so return values need not be described, and the description covers the auth-failure mode. For a three-param read-only search this is nearly complete; only the behavior when all filters are omitted or how limits interact with result volume is left unstated.

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 area, limit and property_type are already documented with defaults and ranges in the schema. The description contributes no additional meaning about these parameters, which is the expected baseline when the schema carries the load.

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 (Search) and resource (Dubai Land Department real estate sale transactions), which implicitly distinguishes it from the sibling dld_search_rent_contracts by scoping to sale rather than rent. It does not name that sibling explicitly, so the differentiation must be inferred from the noun.

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 explicit when-to-use or when-not-to-use guidance and no named alternatives, though the specific 'sale transactions' scope implies the use case versus the rent-contract sibling. The credential prerequisite is stated but is an operational requirement rather than usage routing.

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, so the safety profile is covered. The description adds genuinely useful context beyond that: no API key required, the publishing cadence (09:00/13:30/18:00 UAE), and the authoritative source (Dubai Jewellery Group / Dubai City of Gold).

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, front-loaded with the core answer and each adding distinct value (scope, source/cadence, disambiguation). No filler, though the parenthetical '(no key)' reads slightly tacked-on.

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 tool with an output schema and full annotation coverage, the description supplies everything an agent needs: what is returned, unit, freshness, source, and what it is not. Nothing material 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?

The tool takes zero input parameters, so there is nothing for the description to document; baseline 4 applies. The karat values (24K, 22K, 21K, 18K, 14K) hint at the shape of the response but are not an input concern.

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 resource (Dubai retail gold rates), unit (AED per gram by karat) and source, and explicitly disambiguates itself from spot bullion prices. An agent can tell exactly what data this returns without opening the 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?

Usage is implied by the inherently single-purpose nature of the tool, and the closing line ('not spot bullion prices') gives one mild exclusion. However, it never states when to prefer this over adjacent financial data tools like cbuae_exchange_rates or currency_rates.

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, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds a genuinely useful epistemic caveat (the 5-day average is not a guarantee) that goes beyond structured fields, but says nothing about behavior when bank_id or free_zone is omitted, which is the main ambiguity given both are optional.

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 purpose is front-loaded, which is good, but the middle of the description spends two sentences on press-release background (the 12 November 2025 announcement, seven banks) that adds little to selection or invocation. The caveat sentence does earn its place; the announcement date does not.

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?

An output schema exists, so return values need not be described, and both optional parameters are fully documented in the schema. What is missing is the usage framing required for a lookup tool with two optional filters over a large sibling set of banking and free-zone tools.

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 both parameters are already documented with slug examples, and the baseline of 3 applies. The description adds no parameter-level detail beyond the schema and does not explain the interaction between the two optional filters.

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 opening sentence names a specific verb and resource: reporting DUL bank integration and coverage. That is enough for an agent to grasp what the tool returns, and the scope sentence (mainland and free zone businesses in Dubai) sharpens it. It stops short of a 5 because it never distinguishes itself from nearby siblings like bank_details or list_banks.

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 or when-not-to-use guidance, and no alternative tool is named despite many plausible siblings (bank_details, bank_recommendation, list_free_zones, free_zone_details). The agent must infer the triggering scenario entirely from the purpose sentence.

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=true, idempotentHint=true, destructiveHint=false and a closed (openWorldHint=false) domain, so the safety profile is covered without the description's help. The description adds a genuinely useful behavioural note - that the data is 'current' but should be verified with the FTA/MoF, implying it may lag legislation - yet says nothing about caching, refresh cadence, or how the accreditation register is kept current.

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 opening sentence is well front-loaded, but the body enumerates specific Ministerial Decision numbers, exact appointment dates and go-live months - content that belongs to the return value and, with an output schema present, is redundant for tool selection. It is informative but padded rather than tight.

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 with full annotation coverage and an output schema, the description is more than sufficiently complete: it establishes subject, legal basis, data currency caveat and even the inclusion of the MoF ASP register. The only omission is any statement of how fresh the underlying data is.

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 takes no parameters (schema coverage 100%), so per the rubric the baseline is 4. There is no parameter-level information an agent could be missing, and the description correctly avoids inventing any.

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 first sentence gives a specific verb (Return) and three concrete resources (regime, rollout timeline, ASP deadlines), so the tool's scope is immediately legible. It does not, however, name or contrast itself with near-neighbours such as vat_filing_calendar or corporate_tax_estimate, so an agent must infer the boundary from domain knowledge alone.

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: an agent can reasonably infer this is the tool for UAE e-invoicing phase-in questions, but the description never states when to reach for it, when not to, or which sibling covers adjacent tax-calendar questions. The closing 'Verify dates with the FTA/MoF' is a reliability caveat rather than 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?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and closed-world, so the safety profile is fully covered structurally. The description adds useful scope context (which facets of the guide are included), but does not mention how fresh the guide content is or what form the answer takes beyond the output schema.

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, zero filler, front-loaded with the core action and immediately followed by the coverage list. Every clause maps to a content facet an agent would search on (documents, fees, timelines, channels, pitfalls).

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 guide tool with an output schema, the description is sufficient: it names the content domains and the agent need not be told return format. It stops short of stating prerequisites or when to prefer a sibling guide, which would make it fully complete.

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 takes zero parameters, so the baseline is 4. Schema coverage is 100% and there is nothing for the description to compensate for; the description correctly does not invent parameter semantics.

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 ('Return the full Ejari registration guide') and enumerates the content domains covered (documents, fees by channel, timelines, common mistakes). It is clear what the tool returns, but it never distinguishes itself from adjacent guide-style siblings such as rental_dispute_guide, rera_rent_increase, or attestation_guide, so the agent must infer scope.

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 through the enumerated content: an agent can infer 'use when you need Ejari registration requirements/fees/process', but there is no explicit when-to-use statement and no routing away from lookalike tooling (rental dispute, rent increase, rent_estimate). Adequate but leaves selection to inference.

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, idempotentHint, destructiveHint=false and closed-world, so the safety profile is fully covered. The description adds domain substance (the actual quotas and AED 10,000/month charge) but no operational traits such as update cadence, source jurisdiction coverage, or staleness of the figures.

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?

Purpose is front-loaded in the first sentence, followed by two scoping sentences. It is dense and largely data that arguably duplicates the output schema, but every clause is relevant to the Emiratisation bands and none is padding.

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 an output schema present, return values need not be explained, and the one optional parameter is fully covered by the schema. The description is sufficient to invoke the tool correctly; only explicit usage routing is absent, which is a minor gap for a single-domain lookup.

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% and the single optional parameter (employee_count) is already documented in the schema as flagging the applicable band. The description adds no syntax, valid-range, or edge-case meaning beyond that, 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: 'Return MOHRE Emiratisation targets and non-compliance charges.' An agent immediately knows this is a UAE labour-law compliance lookup, and no sibling tool covers this domain, so there is no ambiguity to resolve.

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 text is almost entirely a dump of regulatory content (targets, percentages, deadlines) rather than guidance. It never states when to call the tool, what prerequisites exist, or how it relates to adjacent compliance tools like moiat_requirements or esr_status.

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, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds no behavioral context beyond that — no indication that the content is static versus live, nor any caching or freshness note. With annotations carrying the safety burden, a 3 is appropriate.

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 purpose is front-loaded in the first sentence, which is correct. The following four lines, however, are event facts (dates, format, prize structure, application windows) that largely pre-render what the output schema already returns, so several sentences do not earn their place as tool documentation.

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 zero parameters, a full annotation set, and an output schema to carry return values, the description covers everything an agent needs to decide to call it and how. It is if anything over-complete, since the payload detail belongs to the output schema rather than the description.

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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-parameter tool is 4.

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?

Opens with a specific verb and resource: 'Return Expand North Star 2026 calendar,' which an agent can act on immediately. It does not, however, differentiate itself from nearby siblings such as startup_events or gitex_info, which an agent seeking event information might also reach for.

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 contains no when-to-use or when-not-to-use guidance and names no alternative. The eligibility note ('only exhibiting startups can apply') describes the event, not when an agent should invoke this tool versus startup_events.

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, closed-world and non-destructive, so the safety profile is covered. The description adds genuinely useful substance beyond that: the regulatory cut-off date, that historical obligations and penalties remain live, and that imposed penalties are not refundable — context an agent needs to answer correctly rather than just safely.

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 purpose statement is front-loaded in one sentence, followed by a single dense but fully relevant block of scope information. Every sentence carries legal context that changes the correct answer, so nothing is padding.

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 an output schema present and no parameters, the description carries only what the structured fields cannot: the regulatory validity window and the survival of historical obligations. Nothing an agent needs to call and interpret this tool 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?

The schema has zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description does not need to explain inputs at all.

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 ('Return the current status of UAE Economic Substance Regulations') and immediately bounds the answer with the temporal scope. No sibling tool covers ESR, so the agent can identify this as the sole authority for that topic without ambiguity.

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 clarifies what the status means (post-2022 exemption, live 2019-2022 obligations, non-refundable penalties), which implicitly tells the agent when the answer applies. However, it never explicitly says when to call this tool or how to route a user who needs, say, filing guides or penalty calculations.

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=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds genuinely useful context — that results are implicitly constrained to a single organization — but says nothing about result volume limits, pagination, or how an empty query behaves. Comparable to the calibration case where safety is annotated and only scoping context is added.

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 core statement is front-loaded in the first sentence, and the wrapper relationship follows immediately. It is tight overall with no filler, though the domain-scope sentence could be folded in more economically.

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 presence of an output schema and rich annotations means the definition doesn't need to explain return shape or safety. However, with zero schema coverage on parameters, the description should say more about how `query` and `rows` behave; that gap is the main impediment to a correct first call.

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 both parameters (`rows`, `query`) are undocumented anywhere. The description does not explain what `query` matches (dataset names? descriptions? HS chapter terms?) or whether the empty-string default returns everything, nor what `rows` bounds. The schema does supply defaults, but the semantics an agent needs to form a good call are absent.

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 Federal Customs Authority trade statistics datasets') and immediately clarifies it is a filtered wrapper over `fcsc_search_dataset` scoped to the `federal-customs-authority` organization. The domain content (UAE non-oil trade by HS chapter, imports, exports, re-exports) further pins down what an agent will get, distinguishing it clearly from the generic sibling.

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 explicitly names the underlying alternative (`fcsc_search_dataset`) and explains the selection rule implicitly: use this when you want the FCA organization's data without specifying an organization yourself. It lacks an explicit 'do not use this for other organizations / use fcsc_search_dataset instead' exclusion, 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?

Annotations already declare readOnly, idempotent, non-destructive and open-world behavior, so the safety profile is covered. The description adds only the 'full metadata' scope hint and says nothing about error behavior for unknown ids or about auth requirements, so it does not go meaningfully beyond the structured data.

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 short, front-loaded sentence with no wasted words. Nothing to trim and the scope qualifier is in the right 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?

An output schema exists, so return values need not be described, and annotations cover the safety profile; a one-line description is nearly sufficient for a single-arg read tool. The remaining gap is the missing disambiguation from fcsc_search_dataset, which an agent would otherwise have to infer.

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% and the single parameter is fully documented ('CKAN dataset id or slug'), so the schema carries the load. The description adds no extra meaning such as whether slug lookup is case-sensitive or how ambiguous ids are resolved.

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 ('Get') and resource ('full metadata for a specific FCSC dataset'), and the word 'specific' plus the required dataset_id signals single-record retrieval. It does not, however, name or contrast itself with the obvious sibling fcsc_search_dataset.

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: 'a specific ... dataset' suggests this is for when you already know the dataset id, versus browsing or querying. There is no explicit when-to-use, no prerequisite, and no pointer to fcsc_search_dataset for discovery.

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=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety and idempotency profile is fully covered by structured data. The description adds no further behavioral context (no note on result size, pagination, or freshness), so with annotations carrying the load a 3 is appropriate.

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, front-loaded with the core purpose and followed by the routing hint. Every sentence earns its place 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 parameters, rich annotations, and an output schema, the description only needs to convey purpose and placement in the workflow, which it does. A minor gap is omitting any note on ordering or result size for what is a full listing.

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 takes zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. The description correctly implies a no-argument full listing.

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 with a clear scope ('List all CKAN organizations publishing on the FCSC portal'), so the agent knows exactly what comes back. It does not, however, explicitly distinguish itself from sibling list tools such as list_features or data_dubai_entities in the purpose statement itself.

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?

Explicitly names the downstream use case and the sibling it feeds: finding the right org slug to use as a filter on `fcsc_search_dataset`. That gives clear context for when to call it, though there is no explicit when-not-to-use or alternative list tool offered.

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, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered and the description is not obligated to restate it. But the description adds nothing at all beyond the name: no pagination/result-window behavior, no auth or rate-limit context, no note that an empty query returns recent datasets.

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 zero filler and no redundancy. It is efficient, though arguably undersized for a four-parameter search tool whose result semantics matter.

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?

An output schema exists and annotations are rich, so return values and safety need not be described. What is missing is routing context against fcsc_get_dataset and the other search siblings, plus any note on paging through large result sets.

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 rows, query, start, and organization are each already documented with defaults and formats. The description contributes no additional parameter meaning, so the baseline 3 for schema-complete tools 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 ('Search the FCSC UAE federal open data portal for datasets'), which is clear enough to call. However, it never distinguishes itself from close siblings like fcsc_get_dataset, fcsc_list_organizations, or data_dubai_search, so the agent must infer which catalog and which operation applies.

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 gives no when-to-use guidance, no prerequisites, and no named alternatives. There is no hint that fcsc_search_dataset is the discovery step that should precede fcsc_get_dataset for full record retrieval.

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, idempotentHint, destructiveHint=false, and a closed world, so the safety profile is fully covered elsewhere. The description's only added behavioral signal is "full curated record," implying a complete rather than summarized payload; there is no mention of error behavior for an unknown id or rate limits.

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 no filler; every word (single, full, curated, by id) carries information about scope and payload depth.

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 getter with a fully documented schema, an output schema already covering return values, and annotations covering safety, the description is nearly sufficient. The only meaningful omission is the upstream relationship to list_free_zones for obtaining a valid id.

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% and the single free_zone_id property already documents the slug format with twelve concrete examples. The description adds nothing beyond restating that the lookup is keyed by id, so the 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?

"Get the full curated record for a single free zone by id" names a specific verb (get), resource (free zone), and scope (single, by id), which implicitly distinguishes it from a list operation. It does not, however, name or contrast with its obvious siblings list_free_zones or compare_free_zones, so the differentiation is inferred rather than stated.

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 explicit when-to-use statement, no prerequisites, and no named alternative. The phrase "by id" faintly implies an id must first come from list_free_zones, but the agent is left to infer that workflow entirely on its own.

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