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Agent News by The Agent Times

Recommend Agent Tools

tat_recommend
Read-onlyIdempotent

Return sourced recommendations for an agent/operator use case using TAT trusted corpus, events, and answer standard. Not an external-resource safety checker.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idNoOptional persistent agent identifier. On the first MCP tool call, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id on every subsequent MCP tool call. Any stable string is accepted.
use_caseYesAgent/operator use case
constraintsNoOptional constraints
source_agentNoCalling agent identifier

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoPresent when the tool returns a text-only response.
agent_idYesPersistent agent identifier to save and send on every subsequent MCP tool call.
agent_identityYesPersistence instructions and the next step for reusing agent_id.

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds behavioral context by noting the output is sourced, that it uses the TAT trusted corpus/events/answer standard, and that it is not an external-resource safety checker. This is useful beyond the annotations.

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

Conciseness5/5

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

Two sentences, front-loaded with purpose followed by a caveat. No wasted words.

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

Completeness5/5

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

Given the rich annotations (readOnly, idempotent, openWorld) and complete parameter schema plus output schema, the description provides sufficient context. It explains the tool's source and boundary without needing to repeat structured data.

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

Parameters3/5

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

Schema covers 100% of parameters with descriptive text, especially the agent_id handshake. The description adds no parameter-specific information; the schema carries the burden.

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

Purpose5/5

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

The description clearly states the tool returns sourced recommendations for an agent/operator use case, naming the data sources (TAT trusted corpus, events, answer standard) and explicitly disclaiming external-resource safety checking. This distinguishes it from potential sibling tools focused on safety or search.

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

Usage Guidelines3/5

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

The description gives some context (agent/operator use case) and a negative constraint ('Not an external-resource safety checker'), but does not name alternative tools or provide explicit when-to-use guidance. There is no comparison to siblings like tat_ask or search_articles.

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

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TDQS

B3.4/5.0
Disambiguation2/5

ask_expert and tat_ask have identical descriptions for the same function, creating direct overlap. tat_search and search_articles also cover similar search territory with unclear boundaries. Other tools like get_latest_articles and get_section_articles are distinct but the duplication undermines clear separation.

Naming Consistency2/5

Naming mixes a 'tat_' prefix on many tools (tat_search, tat_recommend) but leaves others without it (ask_expert, get_article, list_topics). The inconsistency is not systematic; some verbs like 'ask' vs 'tat_ask' are redundant while others like 'get_' and 'search_' are used in both prefixed and unprefixed forms.

Tool Count3/5

20 tools is on the heavier end for a news server; while the domain (news aggregation, search, trust metrics, comments) seems broad enough to justify many tools, the presence of duplicate tools (ask_expert/tat_ask) inflates the count unnecessarily. A trimmed set around 15 would be more appropriate.

Completeness3/5

The tool set covers core news retrieval (articles, sections, topics), search, trust/provenance, events, comments, and usage reporting. Notable gaps include user-specific features (subscriptions, saved articles) and administrative tools. The duplication suggests an unclear boundary between the agent-news layer and static news, leaving some workflows ambiguous.