Sports Hub MCP Server

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

The annotations already declare readOnlyHint=true, openWorldHint=true and idempotentHint=true, so the safety and repeatability profile is covered structurally. The description adds no behavioral context beyond that (no auth requirements, rate limits, or note on whether unknown club ids error), which is acceptable given the lower bar set by the annotations but not value-adding.

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 identifier-format hint is embedded parenthetically rather than consuming an extra sentence, which is efficient.

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

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

For a simple, fully-schematized read tool whose annotations cover the safety profile, the description gives enough to invoke it correctly. The only real gap is that no output schema exists and the description says nothing about what club details are returned.

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%: club_id carries an example and fields is documented as comma-separated keys. The description's "slug after /club/ in the web URL" adds provenance for the id that the schema's example only implies, a marginal gain, 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?

The description states a specific verb and resource ("Get Chess.com club details") and names the platform, which lets an agent separate it from chesscom_get_player (a person) and chesscom_get_player_clubs (a list of clubs for a player). It stops short of naming any sibling explicitly, so it lands at a clear-but-undifferentiated 4.

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 referenced. The parenthetical about the URL slug explains how to build the id, which is parameter semantics rather than usage routing, so an agent gets no help choosing between this and chesscom_get_player_clubs.

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, openWorldHint, and idempotentHint, so the safety and volatility profile is fully covered without description help. The description adds return-content context ('returns usernames and titles'), which is useful given there is no output schema, but it omits volume, pagination, and any rate-limit caveats typical of external open-world APIs.

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 states the action, the scope qualifier ('titled'), and the return payload. No filler or redundancy; every clause carries information.

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

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

For a simple read-only, two-parameter lookup with full schema coverage and covering annotations, the description is close to sufficient and the return-content hint compensates for the absent output schema. However, it says nothing about result size, ordering, or pagination behavior for what may be a long country roster, leaving a modest gap.

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%: 'country' is documented as an ISO 3166 alpha-2 code with examples and 'fields' as a comma-separated key list. The description adds nothing to the parameter semantics beyond what the schema already provides, 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?

The description states a specific verb+resource: retrieve the list of titled players from a country, with the 'titled' qualifier narrowing scope beyond a plain player listing. This is distinguishable from siblings like chesscom_get_player (single player) and chesscom_get_leaderboards (global ranking lists), though it does not explicitly name those siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no exclusions, and no routing to alternatives such as chesscom_get_leaderboards or chesscom_get_player. The agent must infer from the name that this is the country-scoped roster call, which is reasonable but not stated.

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 specify readOnlyHint, idempotentHint, and openWorldHint. The description adds the scope of 'global leaderboards across all categories' and enumerates categories, but does not disclose auth needs, rate limits, pagination, or return behavior. No contradiction with 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 tightly written sentence, front-loaded with the core action and resource, and the category list adds useful scope without 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?

For a simple read-only leaderboard fetch with one optional schema-documented parameter and annotations covering safety, the description is nearly complete. It could say more about the return shape since no output schema exists, but it is sufficient for correct invocation.

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 in the schema. The description adds no parameter-level meaning beyond what the schema already provides, 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 ('Get') and resource ('Chess.com global leaderboards'), plus scope ('across all categories') and an explicit category list. This clearly distinguishes it from sibling tools like player stats, clubs, or country players.

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 only states what the tool does; it gives no guidance on when to use it versus alternatives, prerequisites, or exclusions. No alternative is named, so the agent must infer usage entirely from the purpose statement.

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, openWorldHint and idempotentHint, so the safety and idempotence profile is covered. The description adds the useful qualifier that the data is 'public', implying no authentication is needed for another user's profile, but says nothing about rate limiting, error behavior for unknown usernames, or whether a missing user returns an empty profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that puts the resource first and the return payload second; nothing redundant. The trailing 'etc.' slightly weakens it by leaving the return surface open-ended, which matters because there is no output schema.

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 describing returns and does so adequately by enumerating the main profile fields. For a two-parameter, single-required, annotation-covered read tool that is close to sufficient, with the only real gap being how the optional 'fields' projection behaves.

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 (username, fields) are already documented in the schema, which sets the baseline at 3. The description adds no syntax or behavioral detail about the comma-separated 'fields' projection filter, even though that is the one parameter whose semantics are non-obvious.

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 (Chess.com player) and scope (public profile), and enumerates the fields returned, so the agent knows this is a profile lookup rather than a stats or games query. However, it never names or contrasts with the close siblings that also take a username (chesscom_get_player_stats, chesscom_get_player_clubs, chesscom_get_player_archives, lichess_get_user), so differentiation is left 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?

No when-to-use or when-not-to-use guidance is given. The enumerated profile fields hint at scope, but nothing tells the agent to prefer chesscom_get_player_stats for ratings or chesscom_get_player_clubs for club membership, nor whether the call requires any setup. Structurally this matches the calibration MID example, which also scored 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?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so safety and repeat-call behavior are covered. The description contributes the return shape (a list of archive URLs at monthly granularity), which is genuinely useful context beyond annotations, but says nothing about volume, auth, 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; the key output format qualifier (YYYY/MM) arrives early. It is appropriately sized for a two-parameter list tool, though it does not use its brevity to add any usage routing.

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 enough about the return to be actionable, and it does identify that the result is archive URLs in YYYY/MM form. However, it omits how those URLs are meant to be consumed and offers no guidance on the unused-adjacent 'fields' parameter, leaving it minimally viable rather than 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?

Schema coverage is 100%, so both parameters are already documented in the schema; baseline 3 applies. The description implies the username parameter ('a player's') but adds no detail on the 'fields' parameter or the format/semantics of the YYYY/MM values supplied.

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 (List) and resource (archive URLs) scoped to a player's monthly game history, including the URL format YYYY/MM. It is clearly distinguishable from chesscom_get_player or chesscom_get_player_stats, though it never names a sibling 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 mention of alternatives (e.g., use this before fetching monthly game data, versus get_player for the profile). Usage can only be inferred from what the tool returns, which is the same gap seen in the mid-tier calibration example.

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 profile is fully covered by structured data. The description adds one useful return-content detail (entries carry last-activity timestamps), but says nothing about auth, rate limits, or result size/pagination.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the verb and resource first and the return-content detail in a parenthetical. Nothing 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?

With no output schema, the description partially compensates by noting the returned list includes last-activity timestamps. For a simple two-parameter read tool with full schema coverage and clear annotations, that is nearly sufficient, though a hint about the optional 'fields' projection or result ordering would round it out.

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% (both 'username' and 'fields' are documented in the schema), so the baseline of 3 applies. The description adds no meaning beyond the schema, not even clarifying what 'fields' keys are valid for this endpoint.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb ('Get'), resource ('list of Chess.com clubs') and scope ('a player belongs to'), which clearly separates it from chesscom_get_club (single club details) and chesscom_get_country_players. It never names those siblings explicitly, so an agent must infer the distinction, but the purpose itself is unambiguous.

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 mention of alternatives, even though chesscom_get_club could plausibly be confused with this tool. Usage is only implied by the resource being described, which the rubric treats as insufficient for a 3.

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 profile needs no restating. The description adds useful context about the response grouping by time control and the record fields, but says nothing about rate limits, invalid/unknown usernames, or whether all time controls are returned in one 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?

A single front-loaded sentence that opens with the verb and resource and spends its remainder on the returned breakdown. No filler, no repetition of the title.

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

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

With no output schema, the description correctly carries the return-shape burden by naming ratings, best, and W/L/D per time control. It is nearly complete for a simple read-only stats fetch, lacking only edge-case behavior (unknown username, partial coverage of time controls).

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% with only two params (username, fields), so the schema already carries both. The description's 'by time control (daily, rapid, blitz, bullet) and chess960' actually describes the result grouping rather than any parameter, so it adds no parameter-level syntax or format guidance 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 and resource ('Get a Chess.com player's stats') and enumerates the covered time controls plus the data returned (current ratings, best, W/L/D). It clearly separates itself from chesscom_get_player in substance, though it never names a sibling for explicit routing.

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 infer this is the tool for a player's rating/record breakdown rather than their profile or club list. There is no when-to-use/when-not guidance, no note on what chesscom_get_player covers instead, and no prerequisites (e.g. username validity).

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 profile is covered. The description adds that the response contains bio, stats, and career history, which is useful return-shape context, but says nothing about rate limits, auth, or data freshness.

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 efficient sentence with the resource leading and the returned content trailing. No filler, though it is arguably under-specified rather than maximally concise.

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 partially compensates by naming the return categories, and annotations cover the safety profile. But it omits why sports/league are required and how the 'fields' projection parameter behaves, leaving gaps for a 4-parameter lookup 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%, with sport, league, athlete_id, and fields all documented in the schema itself. The description adds no syntax, format, or relationship detail (e.g. that sport/league scope the athlete lookup), 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 clear verb+resource ('Get information about a specific athlete') and enumerates the content categories (bio, stats, career history). However, with siblings like mlb_get_player, nhl_get_player, and sportsdb_get_player_details, it never signals that this is the cross-sport ESPN source, so sibling differentiation is missing.

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 statement of when to choose this over the many player/athlete siblings (mlb_get_player, nhl_get_player, opendota_get_player, sportsdb_get_player_details). No exclusions, prerequisites, or context cues are given; the agent must infer usage entirely from the 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 declare readOnlyHint, idempotentHint and openWorldHint, so the safety and repeatability profile is covered. The description adds a content inventory of the response (play-by-play, box-score, leaders, game info), which is genuinely useful given there is no output schema, but says nothing about availability before/after an event or rate/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 the verb, scope and content list; no filler and nothing an agent must skip past.

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 usefully enumerates what the summary contains, and the schema plus annotations cover parameters and safety. It stops short of covering edge cases such as events not yet started or sports where play-by-play is unavailable.

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 documents sport, league, event_id and the fields projection. The description adds no syntax, format or default guidance beyond what the schema states, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (get a detailed summary of a specific event/game) and enumerates the payload's contents (play-by-play, box score, leaders, game info). This is well beyond a tautology, but it never names the sibling it competes with — espn_get_scoreboard or nhl_get_game_landing — so an agent must infer the distinction from the 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?

There is no when-to-use guidance at all: nothing says this requires a completed or in-progress event, nothing contrasts it with espn_get_scoreboard or the per-league game tools, and no prerequisites are stated. Usage can only be inferred from the required event_id parameter.

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, openWorldHint, and idempotentHint, so safety and idempotency are covered. The description adds the shape of the response (headlines, descriptions, links), which is useful, but says nothing about result limits, freshness/ordering, or pagination behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that names the verb, resource, scope, and returned fields with zero filler. Nothing could be removed without losing information.

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

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

With no output schema, the description correctly takes on the burden of describing the return payload (headlines, descriptions, links), and the required sport/league params are clear. It falls short only on ordering/recency guarantees and default result count, which an agent would want for a "latest news" 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 100%, so sport codes, league codes, limit, and fields are already documented in the schema. The description adds no syntax or format detail beyond identifying that sport/league scope the query, which is the expected baseline when the schema does the work.

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 (latest news articles) scoped to a sport/league, so an agent knows exactly what comes back. It does not, however, distinguish itself from the sibling ncaa_get_news, which reads almost identically.

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 by the words "latest news for a sport/league" – there is no explicit statement of when to reach for this vs. ncaa_get_news or the scoreboard/standings siblings. No exclusions or prerequisites are given, leaving the agent to infer the use case.

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 profile is covered. The description adds the return shape ('game status, scores, and basic game info'), but says nothing about pagination, the limit parameter's behavior, or result caps — a modest addition over 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 action and scope, then the return content. 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?

With no output schema, the description usefully summarizes the returned fields, which is the main thing an agent needs. It falls short only on pagination/limit behavior and how the live-vs-date mode is selected.

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 every parameter including dates, limit, fields, sport and league is already documented with examples. The description only alludes to date filtering; it adds no format or interaction 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?

The description gives a specific verb and resource ('Get live or date-specific scores for a sport/league') and states what the payload contains. It is clearly a scoreboard/scores tool, though it never explicitly distinguishes itself from near siblings like espn_get_event_summary, espn_get_team_schedule, or espn_get_standings.

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 'live or date-specific' implies when to reach for it (current games vs. a specific date), but there is no explicit when-not guidance and no mention of alternative ESPN tools for deeper game detail. Usage is implied rather than stated.

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 profile is covered. The description adds that results include season types and date ranges, which is useful payload context given there is no output schema, but it says nothing about ordering, completeness, or error behavior.

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 action and the returned content are both stated immediately.

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 usefully sketches what comes back (season types, date ranges), and annotations cover safety. For a simple read-only lookup this is nearly sufficient, missing only ordering/pagination and whether the result set can be empty for a valid sport/league pair.

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 required codes are documented with examples in the schema itself. The description only restates "for a sport/league" and adds no format, case-sensitivity, or validation detail beyond what the schema provides, 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 ("Get available seasons for a sport/league") and even enumerates the returned content (season types, date ranges). It is clear what the tool does, though it never differentiates itself from the several other *_get_seasons siblings (f1_get_seasons, sportsdb_get_seasons, motogp_get_seasons) beyond the espn prefix.

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 statement, no alternatives named, no prerequisites. The phrasing implies a discovery/lookup call that precedes season-scoped queries, but that is inference, not 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, openWorldHint, and idempotentHint, so the safety and caching profile is covered structurally. The description usefully adds what the payload contains (conference/division grouping, records, rankings), but says nothing about pagination, whether a season must be supplied, or coverage limits across sports.

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 compact sentences with the verb/resource front-loaded and the return shape immediately after; no filler. Could arguably be tightened further but 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?

With no output schema, the description at least sketches the return shape, which is valuable. Combined with a fully documented 5-parameter schema and read-only annotations, this is nearly complete; only sport coverage and season requirements go 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 the schema fully documents sport, league, group, fields, and season with examples. The description adds no parameter-level meaning (e.g., that group maps to a conference/division filter), 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 ("Get league standings") and then enumerates the return content (conference/division standings with records, win/loss, ranking). It does not, however, distinguish itself from the many other standings siblings (nhl_get_standings, mlb_get_standings, sportsdb_get_standings, f1_get_driver_standings), leaving the agent to infer the ESPN multi-sport scope from the name prefix 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?

No when-to-use guidance is given. The description never says how this differs from the ~8 other standings tools in the sibling list, nor when a sport-specific standings tool should be preferred over this generic ESPN one. The agent must guess from the 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 declare readOnlyHint, idempotentHint, and openWorldHint, covering safety and idempotence. The description adds return content categories (record, stats, venue, next event) but omits rate limits, auth needs, pagination, or data freshness, so it provides only modest context beyond structured fields.

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?

Single front-loaded sentence with no redundant clauses. Every phrase ('detailed information', 'specific team', and the enumerated contents) 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?

For a read-only, no-output-schema detail tool with full schema coverage and safety annotations, the description adequately states the resource and main returned data. It is slightly incomplete in not clarifying how it differs from sibling endpoints (roster, schedule, teams list), but the core need is covered.

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%, with sport, league, team_id, and fields all documented in the schema. The description adds no parameter-level detail, 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?

States a specific verb ('Get') and resource ('detailed information about a specific team') with enumerated contents (record, stats, venue, next event). However, it does not distinguish itself from sibling tools like espn_get_team_roster, espn_get_team_schedule, or espn_get_teams, so the 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?

No when-to-use guidance, no alternatives named, and no exclusions. The description only states what the tool returns, leaving the agent to infer that this is for a single team's detail view rather than roster, schedule, or list endpoints.

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 profile is covered. Because there is no output schema, the description carries the return-value burden and does so usefully by listing exactly what the roster payload contains, though it says nothing about team_id format expectations 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 that names the tool's purpose first and then the payload contents, with no filler. It is appropriately sized, though it spends no words on differentiating context that would have earned 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?

For a read-only lookup with a fully documented schema and no output schema, the description gives enough to invoke it correctly and tells the agent what comes back. The one gap is that it does not help the agent choose this tool over the several other ESPN team 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 sport, league, team_id and fields are all documented in the schema itself. The description adds no parameter-level detail beyond that, 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 and resource ('Get the full roster for a specific team') and enumerates the returned entities (names, positions, jersey numbers, basic stats). It is clear on its own but never distinguishes itself from close siblings such as espn_get_team_details or espn_get_teams, which an agent could easily confuse it with.

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 guidance and no mention of alternatives, despite the ESPN family containing espn_get_team_details, espn_get_teams, and espn_get_team_schedule. Usage is only weakly implied by the word 'roster' and the phrase 'specific team'.

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 profile is covered. The description adds the returned field set (names, IDs, abbreviations, logos, locations), which is useful, but says nothing about how limit truncates results or whether the list is paginated.

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, no filler, with the core action front-loaded before the return-value detail. Every clause earns its place.

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

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

With no output schema the description does partially compensate by enumerating returned fields, which is appropriate. It still omits limit/fields behavior and how to choose this source over the many sibling team endpoints, leaving gaps for a 4-parameter list 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%, so sport and league examples, limit, and fields are already fully documented in the schema. The description only implies league scoping and adds no syntax or interaction detail beyond that, 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 all teams in a league') and scopes it to a league, which is clear enough to invoke. However, it does no sibling differentiation despite many adjacent team-listing tools (mlb_get_teams, ncaa_get_teams, openliga_get_teams, squiggle_get_teams, formulae_get_teams), so an agent must infer ESPN is the right source from the name prefix 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 or when-not guidance and no mention of alternatives, even though sportsdb_search_teams and openliga_get_teams cover overlapping ground. The required sport/league pairing is only inferable from the schema, not the description.

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 openWorldHint=true, so the safety and caching profile is covered. The description adds a modest behavioral detail — that the payload mixes completed results with future fixtures — but says nothing about pagination, season defaults, or whether the season param is required for current-year 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?

A single well-formed sentence with the resource and the temporal scope front-loaded and zero filler. It is arguably under-sized rather than over-sized, but nothing 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?

With no output schema, the description must convey what comes back; it does so only loosely ('past results and upcoming games'). For a 5-parameter, 3-required tool spanning multiple sports and leagues, it omits season defaults, whether results are ordered, and how it relates to the sibling nhl_get_team_schedule, leaving real gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so every parameter including the enumerated-style examples for sport and league is already documented in the schema. The description only echoes the 'season' concept, adding no syntax, format, or default-value detail beyond what the schema provides. 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?

Clear verb+resource ('Get a team's schedule') with a stated scope ('for a season') and content hint ('past results and upcoming games'). It does not distinguish itself from the near-identical sibling nhl_get_team_schedule or from league-specific schedule tools like mlb_get_schedule, leaving the agent to infer that this is the multi-sport ESPN variant.

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, no mention of when to prefer this over nhl_get_team_schedule or the league-specific schedule tools in the sibling list, and no stated prerequisites (e.g. that sport/league/team_id must be mutually consistent). Usage is only implied by 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 declare readOnlyHint, openWorldHint and idempotentHint, so the safety and repeatability profile is covered. The description adds the useful scoping fact that results are tied to one season and one competition, but says nothing about result size, pagination or ordering. Adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the verb and resource, with the season/competition scope and returned attributes packed in without waste. Nothing could be removed without losing information.

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, but the description compensates by naming the attributes returned (names, codes, venues, country), which is exactly what an agent needs to decide if this tool answers its question. Only the absence of any volume/ordering hint keeps it from 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?

Schema description coverage is 100%, with competition's E/U enum and season_year's start-year convention both documented in the schema itself, so the baseline is 3. The description's parenthetical '(names, codes, venues, country)' loosely hints at what the fields filter can project, but adds no syntax or format detail 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 (List) and resource (clubs) plus the scoping dimension (participating in a EuroLeague/EuroCup season) and even the returned fields. It is easy to distinguish from euroleague_get_games, get_rounds and get_game_boxscore. It stops short of 5 only because it never names or contrasts an alternative tool.

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 purpose: call it when you need the roster of clubs in a season. There is no explicit when-to-use, when-not-to-use, or pointer to a sibling (e.g. a team-details or standings tool) that might serve a related need, so an agent must infer the context.

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 only the return-content scope (per-player and team stats for both teams); it says nothing about response size, pagination, or error behavior for a large boxscore payload.

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 zero waste: the return scope is front-loaded and the input-source note follows. Nothing redundant or padded.

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 describing return content, and it does so adequately (per-player and team stats for both teams). It is complete enough to invoke correctly, though it could note result formatting or that stats cover both squads in more detail.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters (including the E/U competition enum) are already documented in the schema. The description adds no format or semantics beyond pointing at euroleague_get_games as the source of game_code, 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 ("Get a game's full box score") and clarifies scope with parenthetical content ("per-player and team stats for both teams"). This distinguishes it from sibling tools like euroleague_get_game_header and euroleague_get_game_playbyplay without the agent needing to open a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It tells the agent where the required game_code comes from ("Use a game code from euroleague_get_games"), which is a useful input-sourcing hint. However, it gives no when-to-use vs when-not guidance relative to the other euroleague game tools (header, playbyplay), leaving 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 and openWorldHint, so the safety/idempotency profile is covered externally. The description adds the return-content breakdown, but says nothing about permissions, error behavior when the game_code is invalid, 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?

Two tight sentences: the payload is front-loaded and the sourcing hint follows. Every clause earns its place with no redundancy or 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?

There is no output schema, so the description must carry return-value context — and it does by listing the score, team and coach content. Given the read-only annotations and fully documented schema, this is nearly complete; only cross-sibling differentiation 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 every parameter including the game_code source and season_year example is already documented in the schema. The description's only parameter note ('a game code from euroleague_get_games') merely repeats the schema, adding no new semantics, 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+resource ('Get a game's header/summary') and enumerates the payload ('final and per-quarter scores, teams, coaches'), so the agent knows exactly what it returns. It does not, however, distinguish itself from the sibling euroleague_get_game_boxscore, which likely overlaps heavily.

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 one concrete prerequisite — 'Use a game code from euroleague_get_games' — which is useful routing context. But it never says when to pick this over euroleague_get_game_boxscore or euroleague_get_game_playbyplay, so the selection guidance is only implied.

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

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety and repeat-safety profile is covered. The description adds only the content scope ('every event by quarter') and says nothing about ordering, pagination, or volume of events.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, zero filler, with the content scope front-loaded and the parameter hint following. Nothing could be removed without losing information.

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 retrieval tool with full schema coverage and clear annotations, the description covers what the tool returns at a high level even without an output schema. Minor gaps remain around event ordering and feed size, but nothing blocks correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The only added meaning is the provenance of game_code (from euroleague_get_games); competition, season_year, and fields are left to 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 ('Get a game's full play-by-play feed') plus the scope of the content ('every event by quarter'), which separates it from euroleague_get_game_boxscore and euroleague_get_game_header. It stops short of naming a sibling explicitly to route the agent, so it is clear but not fully differentiated.

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 supplies a prerequisite for one parameter ('Use a game code from euroleague_get_games'), which is genuinely useful. However, it gives no when-to-use or when-not guidance relative to the boxscore/header siblings that also take a game code.

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

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

Annotations already declare readOnlyHint, openWorldHint and idempotentHint, so the safety and idempotency profile is covered. The description adds the returned field set, but says nothing about pagination, response size for a full season, or rate limits of the external API.

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 resource, scope and returned payload are all in the first clause.

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 3 fully documented parameters and no output schema, the description usefully enumerates the returned fields (teams, scores, dates, round, status), which covers the missing output schema. Only richer behavioral context is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so fields, competition enum and season_year semantics are already documented in the schema. The description only restates the season scoping and adds no format or syntax detail beyond it, 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 (get games) plus the scope (a season) and the two competitions covered. It does not explicitly distinguish itself from siblings like euroleague_get_rounds, but the season-wide scope makes the granularity clear.

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 or when-not guidance and no named alternatives. The agent must infer from the description that this is the season-level listing and that euroleague_get_rounds or euroleague_get_game_header serve narrower needs.

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, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds minor domain context by clarifying that 'rounds' means 'game days,' but it does not discuss rate limits, auth requirements, or return behavior beyond what annotations and the schema already imply.

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 waste. It gives the essential verb, resource, and domain without unnecessary or repeated information.

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

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

For a simple read-only list tool with full schema coverage and clear annotations, the description is nearly sufficient. The only slight gap is that it does not explicitly state season_year is required, but the schema handles that clearly.

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 documents all three parameters, including the competition enum and season_year format. The description reinforces the EuroLeague/EuroCup scope but adds no syntax or format details beyond what the schema provides.

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 ('List') and resource ('rounds (game days)') scoped to a EuroLeague/EuroCup season. It is immediately clear what the tool returns, but it does not explicitly distinguish itself from sibling tools like euroleague_get_games, which also cover season-level 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?

Usage is implied: an agent can infer it is used to retrieve the list of rounds for a given season. However, the description offers no explicit when-to-use guidance, no when-not-to-use guidance, and no mention of alternatives such as euroleague_get_games.

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 (readOnlyHint, idempotentHint, openWorldHint), so the bar is lower. The description usefully names the returned fields (names, locations, coordinates), which matters since there is no output schema, but it says nothing about pagination or the default-limited result set that the params imply.

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 with zero waste; the scoping condition is front-loaded and the return summary follows. Nothing is redundant or padded.

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 list tool with full schema coverage and no output schema, the description covers purpose, scope, and return fields. It omits pagination behavior, but the schema carries that, leaving only minor gaps an agent can fill.

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 limit, fields, offset, and season are already documented in the schema; baseline is 3. The description only echoes the season concept and adds no syntax or format detail beyond what the schema provides.

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 (list) and resource (Formula 1 circuits) with scope qualifiers (given season or all-time). The resource itself cleanly distinguishes it from siblings like f1_get_drivers or f1_get_constructors, though it does not explicitly name or contrast those neighbors.

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 given season or all-time' implies the usage context, but there is no explicit when-to-use or when-not guidance, and no alternative sibling is named. It is implied usage rather than a routing instruction.

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 profile is covered. The description adds only the season-vs-all-time scoping; it says nothing about result size, pagination behavior, or what 'all-time' returns differently.

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 the verb and resource front-loaded and zero filler. Every word 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?

For a read-only list endpoint with annotations covering safety and a fully documented schema, plus no output schema to explain, this is close to complete. It would reach 5 with a note on what constructors fields are returned or how all-time differs from a season query.

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 limit, fields, offset and season are fully documented in the schema already. The description only restates the season dimension, adding no syntax or format detail 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 and resource ('List Formula 1 constructors/teams') plus the scoping dimension (season or all-time), so an agent can distinguish it from f1_get_constructor_standings or f1_get_drivers. It doesn't explicitly name a sibling to differentiate against, keeping it below a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for a given season or all-time' implies how the season parameter drives the query, but there is no explicit when-to-use guidance or named alternative (e.g. use f1_get_constructor_standings for points tables). Usage is implied rather than stated.

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, openWorldHint, and idempotentHint, covering the safety profile. The description adds no behavioral context beyond the purpose, such as return format, pagination behavior, or season handling, so it does not go beyond structured fields.

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 wasted words. It communicates the resource and scope immediately.

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

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

For a simple read-only standings tool with rich parameter descriptions and safety annotations, the description is largely sufficient. It does not describe what the standings contain (e.g., position, points, team names), but that omission is minor given the tool's simplicity.

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 fully documents all four parameters, including the season default of 'current' and pagination details. The description only restates the season concept, adding no meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Get'), resource ('Formula 1 World Constructors' Championship standings'), and scope ('for a given season'). It implicitly distinguishes from the sibling f1_get_driver_standings by naming the constructors' championship.

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 it when you need constructor standings for a season. However, there is no explicit when-to-use guidance, no mention of when to prefer f1_get_driver_standings, and no prerequisites 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, and openWorldHint=true, covering the safety profile. The description adds no behavioral traits beyond that—no pagination behavior, result ordering, or whether sprint results are included—so it provides minimal extra context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core operation and followed by a brief parameter hint, with zero filler. Every sentence contributes, and the purpose is immediately clear.

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

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

Given the 5-parameter schema with full coverage and read-only annotations, the description is adequate for basic invocation. It falls short on sibling differentiation and return-value expectations (no output schema exists), leaving some ambiguity for an agent choosing between F1 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 all five parameters are documented directly in the schema, including examples for driver_id and season defaults. The driver ID examples in the description duplicate the schema rather than adding new meaning, 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?

The description provides a specific verb ('Get'), resource ('race results'), and scope ('for a specific driver in a given season'), making the operation identifiable. However, it does not explicitly differentiate itself from sibling tools like f1_get_race_results, leaving sibling discrimination 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 states what the tool does but gives no explicit when-to-use guidance or mention of alternatives such as f1_get_race_results. The only directive is about driver ID format, which is parameter guidance rather than usage 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=true, idempotentHint=true and openWorldHint=true, so the safety profile is covered. The description adds a partial return-shape note ('driver IDs, names, nationalities, and other info') which is useful since there is no output schema, but says nothing about pagination or default result volume beyond what the schema already documents.

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 with zero filler, and the listing scope is front-loaded before the incidental return-field detail.

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 list tool with a fully documented schema, the definition covers purpose, scope and rough output contents. It stops short of naming sibling alternatives or noting that results are paginated by default, but nothing critical to correct invocation 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 the schema already defines limit, offset, fields and the season format including the 'current' default. The description adds only the high-level notion that season may be a specific year or all-time, which leaves the baseline of 3 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 ('List Formula 1 drivers') and clarifies scope ('for a given season or all-time'), so the agent knows it is a driver-listing tool rather than a results or standings tool. It does not, however, differentiate itself from close siblings like openf1_get_drivers or f1_get_driver_standings.

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 'for a given season or all-time' phrasing implies when the tool is useful, but there is no explicit guidance on when to prefer it over openf1_get_drivers, f1_get_driver_standings, or f1_get_driver_results. Usage must be inferred from context.

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 profile is fully covered by structured metadata. The description adds nothing beyond that – no note on data freshness for 'current', pagination behavior, or result shape – making it essentially a restatement of the title.

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 needs trimming; the issue is omission, not verbosity.

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 could usefully indicate what a standings entry contains (position, points, driver/team) and how pagination behaves. For a low-complexity, fully-schematized read tool this is adequate but leaves real gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so limit, offset, fields and season are all already documented with defaults and bounds. The description's 'for a given season' merely echoes the season parameter, adding no syntax or format detail 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?

Specific verb (Get) plus a precisely named resource (Formula 1 World Drivers' Championship standings) scoped to a season. The 'Drivers'' qualifier inherently separates it from f1_get_constructor_standings, but the description never names or contrasts a sibling 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, no prerequisites, and no routing to alternatives such as f1_get_constructor_standings or f1_get_driver_results. Usage must be inferred entirely 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 declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds one genuine behavioral fact beyond the structured data – historical coverage begins in 1996 – but says nothing about pagination behavior, result volume, or ordering, which the schema only hints at via limit/offset.

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 and zero filler. The middle sentence partially duplicates the schema's own parameter documentation, which is the only mild 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?

For a six-parameter read tool with no output schema and full annotation coverage, the description supplies what an agent needs: what it returns, the optional single-lap mode, and the historical boundary. The absence of any note on pagination or result ordering is a minor gap given limit/offset exist in 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 every parameter including lap, season, round, limit, offset and fields is already documented in the schema. The description's only added meaning is that omitting the lap parameter yields all laps, which is essentially a restatement of the schema's 'omit for all laps' note, 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 ('Get lap times for a specific race') and clarifies scope with the all-laps vs. single-lap distinction and the 1996 data start. It does not differentiate itself from the closely related sibling openf1_get_laps, which also returns lap data, so the agent gets no routing help between the two.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage ('for a specific race', 'all laps or a specific lap number') and flags a hard constraint (data from 1996 onwards), which helps an agent decide if the tool is applicable. It names no alternative and gives no when-not-to-use guidance, so the sibling overlap with openf1_get_laps is left unresolved.

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 repeatability profile is covered structurally. The description adds the temporal availability constraint (2012+), which is useful context, but says nothing about pagination behavior, data source, or what the response contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, with the core action front-loaded and the qualification (specific stop / all stops) immediately after. No padding, though the availability note could be folded more tightly.

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

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

For a single-resource read tool with full parameter documentation and read-only/idempotent annotations, the description covers what an agent needs to call it. There is no output schema, but the return shape of pit-stop data is conventionally obvious; a note on source or pagination would close the remaining gap.

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 (stop, limit, round, fields, offset, season) are already documented in the schema, including defaults and bounds. The description's 'all or a specific stop number' phrasing only echoes the stop parameter and adds no format or syntax detail 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 and resource ('Get pit stop data') and scopes it to a specific race, plus clarifies the two query modes (all stops vs. a single stop number). It does not name or distinguish itself from near-neighbors such as openf1_get_pit or f1_get_lap_times, 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?

The 'data available from 2012 onwards' note is a genuine usage constraint, and the all-vs-single-stop phrasing hints at when to use the stop parameter. However, there is no explicit guidance on when to pick this tool over the other pit-stop-capable sibling (openf1_get_pit), leaving the choice 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 and openWorldHint, so the safety profile is covered. The description adds that the return contains Q1/Q2/Q3 driver times, which is useful context, but says nothing about pagination, the 'current' season default, or behavior on missing rounds.

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 action and followed by the return contents. Nothing is redundant or padded.

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 does double duty by naming the returned Q1/Q2/Q3 times, which is the key return-value information. For a 5-parameter, all-optional tool with full schema coverage this is nearly sufficient, though it omits how session/round scoping interacts with the default 'current' season.

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 every parameter (limit, round, fields, offset, season) is already documented in the schema. The description adds no parameter-level detail, such as season/round format requirements, 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 ('Get Formula 1 qualifying results') and clarifies the payload ('Q1/Q2/Q3 times for drivers in a specific qualifying session'). This separates it from race/sprint result siblings, but it never explicitly distinguishes itself from f1_get_driver_results or f1_get_lap_times, which an agent could plausibly confuse with qualifying 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?

No when-to-use, when-not-to-use, or alternative tool is named. The description only implies the domain (session qualifying), leaving the agent to infer whether f1_get_race_results, f1_get_sprint, or f1_get_driver_results should be used instead.

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

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is fully covered. The description adds useful payload context by listing the returned fields (positions, drivers, constructors, times, status), but says nothing about pagination behavior or result ordering beyond what the schema implies.

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 purpose, no filler. Efficient, though the second sentence is essentially a return-field list that could be trimmed or expanded more purposefully.

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 carries the burden of describing return content, and it does so by enumerating the result fields. With 0 required params and 100% schema coverage, the agent has enough to call it, though pagination semantics remain implicit.

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 five parameters are already fully documented in the schema; baseline 3 applies. The phrase 'for a season or specific round' loosely maps to the season/round params but adds no format or default detail beyond what the schema provides.

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 Formula 1 race results) and pins the scope to a season or a specific round, which separates it from race-weekend siblings like f1_get_sprint and f1_get_qualifying by resource. It does not name any sibling explicitly, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance or alternatives. It never says how this differs from f1_get_sprint, f1_get_qualifying, or f1_get_driver_results, all of which operate on the same race weekend, so the agent must infer the choice from names 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 readOnlyHint, idempotentHint and openWorldHint, so the safety and repeatability profile is covered. The description adds useful content scope (circuit info and race dates) but says nothing about pagination behavior or how the default season resolves.

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 verb, resource, scope and payload contents appear before any trailing clause. It is terse without being cryptic.

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 list tool whose annotations cover safety and whose schema covers all four parameters, the essentials are present, and the description partially compensates for the missing output schema by naming circuit info and race dates. It still omits ordering and pagination semantics, which an agent needs to page through a season correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so limit, offset, fields and season are already documented, including the "current" default. The description only implies the season filter and adds nothing about field projection or pagination interaction, 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 (get) and resource (Formula 1 race schedule/calendar) scoped to a season, plus what the payload contains (circuit info, race dates). The f1_ prefix cleanly separates it from the many *_get_schedule siblings, though it does not explicitly distinguish itself from f1 seasonal tools like f1_get_seasons or f1_get_circuits.

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, no prerequisites, and no named alternatives. An agent must infer on its own that this is the calendar-level tool rather than f1_get_race_results or openf1_get_sessions, and that season supports "current" only by reading 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 and openWorld, so the safety profile is covered. The description adds one genuinely useful return-value fact — that each season includes Wikipedia links — but says nothing about pagination defaults or result ordering, which matters given limit/offset parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the scope constraint and the notable return detail; nothing extraneous.

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

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

For a simple, fully annotated, zero-required-parameter list endpoint with no output schema, the description covers what the tool returns (seasons plus Wikipedia links). The only small gap is the missing note that results are paginated rather than exhaustive.

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%: limit, fields and offset all carry their own descriptions and bounds. The description adds nothing about parameters, and 'List all seasons' arguably understates the default-30 limit, 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?

Names a specific verb ('List') and resource ('Formula 1 seasons') and bounds it explicitly to '1950 to present', which is far more precise than a bare 'get seasons'. It doesn't explicitly contrast itself with the sibling season tools (motogp_get_seasons, sportsdb_get_seasons, espn_get_seasons), but the F1 scoping and date range make its remit unambiguous.

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, nor of prerequisites or context. The phrase 'List all seasons' also gives no hint that results are paginated by default, which is exactly the situation where an agent would need 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, and openWorldHint, so the safety profile is covered. The description adds only the round-scoping constraint and nothing about return format, pagination, or data completeness, so it is minimal but not contradictory.

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 waste. It is efficient, though arguably under-specified rather than richly concise.

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

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

For a simple read-only lookup tool with full schema coverage and annotations covering the safety profile, the description is adequate to invoke correctly. The absence of output schema means return-shape explanation would have helped, but the core need is met.

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 five parameters (limit, round, fields, offset, season) are already documented in the schema. The description adds no syntax or format detail beyond what the schema provides, making the baseline 3 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 (get), resource (Formula 1 sprint race results), and scope (specific round), clearly distinguishing this from the regular-race sibling f1_get_race_results via the word 'sprint'. However it does not explicitly name any sibling to route the agent.

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 explicit alternatives named. The sprint-vs-race distinction is implied by the word 'sprint' but the description never tells the agent when to prefer this over f1_get_race_results or f1_get_qualifying.

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 openWorldHint=true, so safety and repeatability are covered. The description adds the useful ordering behavior ('most recent matches first') and content scope (results plus odds), but says nothing about rate limits, auth, or pagination semantics.

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 with zero waste; the resource and its distinguishing content (results + odds) are front-loaded, followed by ordering and filtering. Nothing redundant.

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

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

With no output schema, the description usefully names the return content (results plus bookmaker odds) and ordering. It covers what an agent needs to call the tool correctly, though it could say more about response shape or pagination given the limit of 400.

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 documents league codes, season format, team substring matching, limit cap, and fields selection. The description's mention of team filtering and limit only restates schema content, 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 (Get) and resource (historical matches with results and bookmaker odds) for a league and season, and names the data source football-data.co.uk. It does not explicitly differentiate itself from similar siblings like openliga_get_matches_by_league_season or sportsrc_get_matches, but the odds mention and source give it a distinct identity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through 'filter by team and cap with limit,' which maps to the optional parameters, but gives no explicit when-to-use vs when-not guidance or alternatives. The schema points to footballdata_uk_list_leagues for the league param, but the description itself carries no routing advice.

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 safe, repeatable read profile is covered. The description adds only that the payload contains league codes plus season-code formation guidance; it says nothing about pagination, size, or response shape, so it is only marginally richer than the structured fields.

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 front-loads the resource and the consuming tool with no wasted words. Nothing can be trimmed without losing information.

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 reference-list tool with no output schema and one optional parameter, the description adequately explains what is returned (league codes and season-code format). It could be slightly more explicit about the response contents, but nothing critical 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?

There is a single optional 'fields' parameter with 100% schema description coverage, so the schema carries the meaning. The description adds no extra detail about the field-projection syntax, making the baseline 3 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 (List) and resource (football-data.co.uk league codes), and explicitly ties the output to the sibling footballdata_uk_get_matches. It also notes the season-code formation guidance, so an agent knows this is a reference/enumeration tool distinct from get_matches.

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 'usable with footballdata_uk_get_matches' makes the context clear: this is the prerequisite lookup for the matches tool. It gives no explicit exclusions or when-not conditions, but the intended usage is unambiguous.

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 profile is covered. The description adds that the result is one row per season across a defined historical window and includes an id and status, which is useful behavioral context in the absence of an output schema. Pagination or ordering behavior is not stated.

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 zero filler: the first covers scope, coverage window, and returned fields; the second covers the downstream linkage. The most decision-relevant information is front-loaded.

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

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

For a zero-required-param read tool with no output schema, the description supplies the season coverage, the identity of the returned key, and the reason to call it. What remains unstated — ordering, whether the list can be filtered, or that the full set is small enough to return unpaginated — is minor but would make it airtight.

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 is a single optional `fields` parameter and schema description coverage is 100%, so the schema already fully documents it. The description says nothing about `fields` (e.g., which keys are valid or what the default projection is), so it adds no meaning beyond the schema — 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?

The description gives a specific verb and resource ('List Formula E championships') plus granularity ('one per season, from 2014-15 to the current season') and returned fields ('ids and status'). Naming the series as Formula E distinguishes it from look-alike season tools such as f1_get_seasons or sportsdb_get_seasons, though no Formula E sibling (races, teams, standings) is contrasted by name.

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 `id` (championshipId) feeds the standings tools' states the concrete downstream dependency, telling an agent to call this before formulae_get_driver_standings or formulae_get_team_standings. It never explicitly excludes alternatives or says when not to use it, so this is clear context rather than 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 readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered by structured data. The description adds the prerequisite linkage to formulae_get_championships but says nothing about ordering, pagination, or return shape.

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 purpose front-loaded and the prerequisite following immediately. Nothing is padded or redundant.

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

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

For a simple two-parameter read tool with full schema coverage and adequate annotations, the description covers purpose and the key prerequisite. It is slightly thin on ordering or scope of standings, 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 are already documented in the schema. The description repeats the championship_id provenance hint but adds no extra semantics for the free-form 'fields' parameter. 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 ('Get the Formula E drivers' championship standings') and scopes it to a championship/season. It is clearly distinguishable from the adjacent formulae_get_team_standings sibling, which covers team rather than driver standings.

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 tells the agent to pass a championshipId from formulae_get_championships, which gives a clear prerequisite and a chained-call path. It does not, however, say when to prefer this over formulae_get_team_standings or other standings tools, so there is no explicit exclusion 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 and openWorldHint, so the safety profile is covered. The description adds the useful detail that the response contains sessions, circuit and schedule, but says nothing about pagination, error behavior, or how the optional fields projection affects output.

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 zero filler, the purpose front-loaded and the id prerequisite second. Every clause earns its place.

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

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

With no output schema, the description partially compensates by naming the returned sections, and the id source is clear. For a simple two-parameter read tool this is nearly sufficient, though it could note the fields projection's effect on the response.

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, and the schema's race_id description mirrors the description's wording. The description adds no meaning beyond the schema and never mentions the optional fields projection parameter.

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 (a single Formula E race), and enumerates the payload contents (sessions, circuit, schedule). It implicitly distinguishes itself from the list-oriented formulae_get_races, but does not explicitly differentiate from close siblings like formulae_get_race_results.

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 tells the agent where the required id comes from (formulae_get_races), which is useful prerequisite guidance. However, it gives no when-to-use/when-not guidance relative to alternatives such as formulae_get_race_results, so usage must be inferred from the name 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?

The annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds the shape of the returned classification (driver/team/position/points), which is modest extra context but does not discuss ordering, missing-result edges, or pagination.

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 compact sentences with zero filler; the field list is front-loaded and the id-sourcing hint follows immediately.

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

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

For a simple two-parameter read tool with no output schema, the description covers purpose, the returned fields, and where to get the id. Only the cross-series disambiguation (Formula E vs F1) is left implicit.

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 in the schema, and the description's note about sourcing race_id merely restates the schema text. Baseline 3 applies since 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?

The description gives a specific verb+resource ('Get the race results / classification') and enumerates the returned content (driver, team, position, points). It also names the series as Formula E, which is the key distinction from the F1 sibling tools, though it never calls out f1_get_race_results 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?

It supplies a prerequisite by telling the agent to source the id from formulae_get_races, which is genuinely useful routing. However, it offers no when-not-to-use guidance and does not distinguish this from formula E siblings like formulae_get_race or from f1_get_race_results.

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, openWorldHint and idempotentHint, so the safety profile is covered. The description adds genuine behavior beyond that: the result set is paginated and page-addressable, and the ids are usable as keys in other tools. Rate limits or page-size defaults are not disclosed, so 4.

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 zero filler; the resource and returned fields come first, pagination second, downstream routing last. Every clause carries information an agent needs.

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 usefully enumerates the returned fields, which is the right place to compensate. Pagination is covered, but the page size, whether a total count exists, and the meaning of the result-availability flags are left 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 both parameters are already documented in the schema; this sets the baseline at 3. The description reinforces `page` as the advancing cursor but says nothing about the `fields` projection parameter, adding only marginal meaning.

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 Formula E races / E-Prix') and enumerates the returned fields (id, name, country, city, date, result flags). It also names the sibling tools that consume the output, so an agent can place it precisely in the formulae_* family without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Paginated — use `page` to advance' tells the agent how to iterate, and 'Each race id feeds formulae_get_race / formulae_get_race_results' establishes this as the entry point that routes downstream. It lacks an explicit when-not-to-use condition (e.g., versus formulae_get_championships), so it stops short of 5.

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, idempotentHint, and openWorldHint, so the safety profile is covered by structured data. The description goes beyond that by disclosing the aggregate statistics included per team (wins, podiums, race starts), which is useful payload context for choosing the tool. It does not cover freshness (which season), pagination, or the full response shape.

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, and the identifying scope ('Formula E') appears immediately. It is efficient, though extremely terse for a tool with no output schema.

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

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

For a simple read-only list endpoint with one fully documented optional parameter and no output schema, the description is largely sufficient: it identifies the sport, the entity, and the key stats returned. It leaves minor gaps around season scoping and full return structure, but nothing that would cause an agent to misuse it.

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 is a single optional 'fields' parameter with full schema description coverage ('Keys to keep (comma-separated)'), so the schema already carries the semantics. The description adds nothing about how or why to project fields. Baseline 3 is appropriate 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?

The sentence names a specific verb ('List') and resource ('Formula E teams'), which disambiguates it from the many other league team endpoints in the sibling list (mlb_get_teams, espn_get_teams, ncaa_get_teams, etc.). It also previews the payload (wins, podiums, race starts). It stops short of distinguishing itself from adjacent formulae tools such as formulae_get_team_standings.

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 and no named alternative. An agent must infer that this is the roster/team list endpoint versus formulae_get_team_standings or formulae_get_championships. No prerequisites, season scoping, or exclusions are given.

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

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds only the season-scoping context and says nothing about return shape, pagination, or how standings are ordered, which is acceptable but not rich given the lower bar set by 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, front-loaded with what is returned and followed by the input dependency. The second sentence largely duplicates the schema description of championship_id, which is minor redundancy rather than bloat.

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

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

For a simple read-only standings lookup with full schema coverage and annotations, the description supplies the needed purpose and input provenance. No output schema exists, but the return concept (team championship standings) is clear enough that little more is required.

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 in the schema, and the description merely repeats the schema's note that championship_id comes from formulae_get_championships. The optional 'fields' projection parameter is not mentioned in the description, but the schema covers 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 (Get) and resource (Formula E teams' championship standings) scoped to a season. It is cleanly distinguishable from the sibling formulae_get_driver_standings because it explicitly names 'teams' rather than drivers.

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 a clear usage context by telling the agent to supply a championshipId sourced from formulae_get_championships, which establishes the call order. It stops short of any explicit when-not-to-use or naming of alternatives such as driver standings, so it falls just below the top band.

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 safety is covered. The description adds ordering context ("most recent") that the annotations lack, but the "~20" figure is vague and sits awkwardly beside a schema that permits max=50, which could mislead an agent about the effective cap.

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 resource and scope. No wasted words; every clause carries information.

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 list endpoint, the description plus annotations and a fully documented schema cover what an agent needs to invoke it, and the recency/volume note is useful. Minor gaps remain around what a broadcast record contains and whether the list can be filtered, but no output schema is expected here.

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 (max, fields) are already documented in the schema. The description adds no syntax, formatting, or interpretation detail beyond that, making the baseline 3 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 and resource ("List official Lichess broadcast tournaments") and clarifies the resource with "live coverage of OTB events", which separates it from the arena-focused lichess_get_tournaments sibling. It does not name that sibling explicitly, so differentiation is inferable 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?

The parenthetical scope hint implies this is the tool for OTB broadcast coverage, but there is no explicit when-to-use, no exclusion criteria, and no pointer to lichess_get_tournaments or lichess_get_daily_puzzle as alternatives. Usage 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 readOnlyHint, idempotentHint, and openWorldHint, so safety and determinism are covered structurally. The description helpfully discloses the return payload (source game plus solution moves), which is useful since no output schema exists, but adds nothing on caching, rate limits, or that the result changes daily.

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 that front-loads the resource and immediately lists what is returned. 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?

For a simple, parameterless read tool with annotations covering the safety profile, the description discloses the return contents adequately in the absence of an output schema. A minor gap is the absence of any note on daily rotation or fixed scope, but nothing essential to calling it correctly 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?

Only one optional 'fields' parameter, and the schema description (100% coverage) already documents it. The description adds no further parameter meaning, so the baseline of 3 for fully-covered schema 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 (Get) and resource (Lichess puzzle of the day), and explicitly names the contents included (source game and solution moves). Easily distinguished from all siblings, none of which concern puzzles.

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 'puzzle of the day' implies usage context (fetch today's puzzle), but there is no explicit when-to-use guidance, no alternatives, and no mention that it always returns the single current daily puzzle regardless of input.

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 profile is covered structurally. The description adds the returned field set, which is mild extra value, but says nothing about authentication requirements, rate limits, or behavior when the team id is unknown.

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, front-loaded with the verb and resource, followed by the concrete return contents. No filler, no 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?

For a simple, read-only, single-required-parameter lookup with a fully documented schema, the description is nearly sufficient — and by listing the returned fields it partially compensates for the absent output schema. Only error/not-found behavior is left unspecified.

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 team_id (URL slug example) and fields (comma-separated key filter) are already documented in the schema. The description names no parameters and adds no syntax or guidance beyond that, which is the expected baseline when the schema does the work.

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 (Lichess team) and enumerates the payload contents: description, member count, leader, open/closed status. It is unambiguous within the lichess_* family, but it does not explicitly differentiate itself from adjacent lookup tools such as lichess_get_user or sportsdb_get_team_details.

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 purpose — call it when you need a team's profile — but there is no explicit when-to-use statement, no prerequisites, and no named alternative for team-like lookups in the broader sibling set.

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 openWorldHint=true, so the safety and idempotency profile is covered. The description adds only the ranking/depth semantics ('top N'), and says nothing about caching, rate limits, or roughly what a player entry contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence, front-loaded with verb and resource, with no filler or restated schema detail. Every word 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?

For a simple, fully documented read-only endpoint with annotations covering safety, this is nearly complete. The only gap is that with no output schema, the description does not hint at the shape of a returned player entry (name, rating, title), which an agent might otherwise need.

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%: n has a documented range and default, perf has a full enum, and fields explains the comma-separated projection. The description's parenthetical variant list adds mild illustrative value but no format or syntax information 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 (Get) and resource (top N players) scoped to a Lichess performance variant, with examples of the variants inline. The resource is unambiguous and not overlapped by any sibling tool, though it does not explicitly contrast itself with neighboring read tools like lichess_get_user.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no when-to-use or when-not-to-use guidance; it never mentions an alternative tool or the condition (e.g., leaderboards vs. a single user lookup) that should route an agent here. Only the phrase 'top N' implicitly signals a leaderboard-style query.

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