Leonida Lab: GTA 6 facts, official or not

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), but the description goes further and discloses the response shape: closest matches with a status taxonomy (official, reported, not announced), source dates, and the page reference, plus the miss behavior of listing covered topics. That is genuine behavioral 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?

Front-loaded with the core action in the opening clause, then return behavior, then the disclaimer. The long topic enumeration is slightly padded but it doubles as domain scoping, so it mostly earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of explaining return values and does so well (matches, statuses, sources, dates, miss behavior). Nothing critical is missing for a simple two-parameter read tool, though auth/prerequisites 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% and both params are documented in the schema, so the baseline is 3. The description's topic examples ('PC version', '60 FPS') mirror what the schema already shows for query, and the limit parameter is not mentioned at all, so no extra semantic value is added.

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 (checks) and resource (one claim about GTA 6) against a record, and enumerates the covered topic space (PC version, 60 FPS, disc, crossplay, etc.) so the agent knows the domain precisely. This differentiates it from siblings like release_info and recent_changes without needing their schemas.

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 'checks one claim' implies single-claim, narrowly-scoped use, but the description never says when to prefer this over release_info or recent_changes, nor does it state exclusions. Usage is inferable but not explicit.

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

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false, so the safety profile is covered. On top of that the description discloses return structure ('each line carries its status and source'), the presence of deadlines and the unofficial/non-affiliated disclaimer — genuinely useful context that is not in any structured field.

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 core purpose in the first clause, then a long but purposeful enumeration of the comparison facets, closed with the disclaimer. It is a single dense sentence rather than a run-on pile of filler, so space is earned, though a bulleted breakdown of facets would read faster.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must convey what comes back, and it does: prices, inclusions, Ultimate bonuses, pre-order bonus deadline, disc/download-code fact, Collector's Box merchandise. Only the granularity/format of the per-line status and source fields is left unspecified, which is a minor gap for a zero-param read-only 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?

Zero parameters, so there is nothing to disambiguate; the baseline is 4. The description correctly implies the tool takes no input and returns a fixed comparison set.

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 ('the two GTA 6 editions side by side') and enumerates exactly what is compared: prices, inclusions, bonuses, deadlines, disc status, Collector's Box. It is distinguishable from siblings like price_in_country and release_info by its edition-comparison scope, though it never names those siblings 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 routing against the sibling tools that overlap it (price_in_country covers pricing, release_info covers launch facts). The reader must infer that this is the tool for edition-to-edition comparison from the content list 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 declare a safe read (readOnlyHint, idempotentHint, destructiveHint=false), so the bar is lower; the description still adds real context beyond them: data provenance (official PS and Xbox Store listings), currency conversion at the official exchange rate, and tax treatment including the interpretation rule that a pre-tax price is labelled and never presented as cheaper. It omits freshness/staleness of listings, which would have been the last useful piece.

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 payoff (what a buyer pays) followed by scope, sources, and the three return components, then a short non-affiliation clause. Dense but every clause carries information; the affiliation disclaimer is the only borderline element, and it is brief.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description must describe returns itself and it does: local-currency checkout price, USD equivalent at the official rate, and tax inclusion status. Combined with the market count and edition scope, an agent has everything needed 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?

Schema coverage is 100%, so both parameters are already documented in the schema (country accepts name or two-letter code; platform enum restricts to one store). The description only reinforces the country scope ('one of 63 markets') and adds no format or edge-case detail 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: what a buyer pays for GTA 6 in one of 63 markets, drawn from PlayStation and Xbox Store listings. It also scopes the two editions covered (Standard and Ultimate), which separates it cleanly from siblings like compare_editions and release_info.

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: the singular-country framing ('in one of 63 markets') and the platform 'Omit it for both' note signal a per-country lookup, but no sibling is named and no when-not-to-use condition is given (e.g. use compare_editions to rank editions against each other). Adequate but leaves routing 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 establish the safe-read profile (readOnly, idempotent, non-destructive), so the bar is lower. The description still adds real context beyond them: newest-first ordering, that every entry is labelled and linked to its source (important for trusting or citing results), and an 'unofficial, not affiliated with Rockstar Games or Take-Two' disclaimer that matters for how an agent presents the 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?

The core purpose is front-loaded in the first clause, followed by enumeration, the optional filter, and the disclaimer. It is a single dense but well-ordered passage with little waste, though the look-up sentence is somewhat run-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 read-only listing tool with no output schema and fully documented inputs, the description covers what the tool returns (dated, labelled, source-linked entries), ordering, and filtering, plus the provenance disclaimer. Remaining gaps such as result-size behavior are adequately handled by the schema's limit bounds.

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 both parameters carry descriptions, bounds (1-30) and a date pattern, so the schema does the heavy lifting. The description adds only the ordering note ('newest first') and that the date filter is optional, which is marginal over 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 concrete resource (the Leonida Lab changelog of dated entries about GTA 6, newest first) and enumerates what those entries cover (Rockstar/Take-Two/store announcements, press reports, site changes), which goes well beyond the vague name 'recent_changes'. It does not, however, explicitly contrast itself with release_info or check_claim, 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?

Usage is implied by 'Optionally only entries since a date', which tells the agent when to supply the filter, and by the changelog framing. There is no explicit when-to-use-this-vs-alternatives guidance against siblings like release_info or check_claim, and no stated 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 cover safety (readOnly, idempotent, non-destructive), so the description earns credit for saying more: each data point carries its own status, the unlock hour may be unofficial and the answer flags which, and the service is explicitly not affiliated with Rockstar or Take-Two. That data-reliability and provenance disclosure is real context an agent cannot get from 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 hook 'When GTA 6 comes out:' is front-loaded and the two trailing sentences (status caveat, non-affiliation) each earn their place. The middle sentence is a dense run-on enumeration, but no clause is 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 a single optional parameter, no output schema, and full read-only annotations, the description does the heavy lifting by enumerating the returned content and its caveats. It is essentially complete, though it never sketches the response's shape (per-region list vs. single place) beyond the parameter's 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 100% and the `place` parameter's own description already gives examples and the omit-for-all default, so the baseline is 3. The description adds only the fact that there are 15 regions, a marginal gain over 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 enumerates exactly what the tool returns — the official date, announced platforms, per-region unlock times, and launch-adjacent dates (preload, boxed copies, pre-order deadline) — so the resource and scope are unambiguous. It never names a sibling, so an agent must infer that claim-checking, edition comparison, pricing, and change history belong to check_claim/compare_editions/price_in_country/recent_changes rather than here.

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 content list: come here for release-date and unlock-time facts. There is no explicit when-to-use or when-not-to-use statement and no routing to the obvious alternatives, even though price_in_country and compare_editions overlap thematically with 'platforms' and 'pre-order deadline'.

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