AI-Portal Enterprise GenAI Briefing

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

With no annotations, the description discloses non-obvious traits: curation ('curated') and freshness ('refreshed every weekday morning'). It does not detail data range (e.g., historical availability) or authentication needs, but provides reasonable transparency for a simple news retrieval tool.

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

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

The description is a single, front-loaded sentence efficiently conveying source, content, and update frequency with 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 tool with one optional parameter and no output schema, the description covers source and refresh schedule. It could mention that it returns only the most recent items (implied by 'latest') but is otherwise 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% for the single 'limit' parameter, which has a clear description including default and max. The tool description does not add extra meaning beyond the schema, 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?

The description clearly specifies the verb ('get'), resource ('latest curated GenAI news items'), source ('AI-Portal'), and refresh frequency ('every weekday morning'), distinguishing it from siblings like list_regulations and list_releases.

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 the tool is for obtaining current news due to the 'latest' and 'refreshed every weekday morning' wording. However, it does not explicitly state when not to use it or mention alternatives like search_glossary, but sibling names provide enough context for differentiation.

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

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

No annotations are provided, so the description must fully convey behavioral traits. It states the tool lists regulations and mentions output fields, but does not disclose side effects, permissions, rate limits, pagination, or whether it is read-only. Minimal transparency beyond the core purpose.

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, clear sentence that is front-loaded and efficiently conveys the tool's purpose. No wasted words.

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

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

The description covers the main output fields and purpose. Given that there is no output schema and no annotations, it is mostly complete for a list tool with simple parameters. Minor gaps: no mention of pagination, sorting, or limit behavior.

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

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

Schema coverage is 100% (both parameters described), so baseline is 3. The description adds no additional meaning to the parameters beyond what the schema provides. The parameters (status, jurisdiction) are fairly self-explanatory, and the description does not elaborate on their usage or format.

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

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

The description clearly states it lists AI regulations and compliance status, including specific regulations (EU AI Act, ISO 42001) and fields (jurisdiction, effective dates, key requirements, fines). It distinguishes well from sibling tools like get_latest_news (news), list_releases (releases), and search_glossary (glossary).

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 listing regulations, and siblings are unrelated, but it does not explicitly state when to use this tool versus alternatives or when not to use it. No exclusions or prerequisites mentioned.

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

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

No annotations are provided, so the description carries full burden. It mentions 'newest first' ordering but does not disclose idempotency, side effects, error handling, or rate limits. For a read-only listing tool, this is minimal disclosure.

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 of 18 words contains all essential information: purpose, ordering, and filter availability. No unnecessary words, and the key action 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?

The description is adequate for a simple listing tool with optional filters and no output schema. It covers the main use case but omits details about return format, pagination beyond 'limit', and default behavior when filters are empty.

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 baseline is 3. The description paraphrases the filtering categories (category, provider, year, landmark_only) but adds no new meaning beyond what the schema already provides with examples.

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 clearly states the tool lists AI model and product releases from AI-Portal in reverse chronological order. It distinguishes itself from siblings (news, regulations, glossary) by its specific subject matter and action.

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 indicates filtering options but does not explicitly guide when to use this tool versus siblings or provide exclusions. The sibling tools cover different domains, so the distinction is implicit, but no direct usage guidance is given.

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

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

With no annotations, the description carries full burden. It only describes output, not behaviors like read-only nature, pagination, rate limits, or side effects. The agent gets no behavioral hints beyond the action.

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 action and result. Every word contributes. No unnecessary details.

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?

Adequate for a simple search tool, but lacks mention of edge cases (empty results, pagination) and does not explain the category parameter's role clearly. Slightly below what is needed for full agent autonomy.

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 50% (only query has description). The tool description does not explain the category parameter or how it filters results. It adds no value beyond the schema for query, failing to compensate for the missing category description.

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 clearly states the tool searches a glossary and returns specific fields (term, definition, category, usage example). The title reinforces this. It distinguishes from siblings (news, regulations, releases) by focusing on glossary terms.

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 guidance on when to use this tool vs alternatives. There is no mention of when not to use it or which sibling tool might be better for related but different tasks.

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