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Agent News by The Agent Times

Report Article Usage

report_usage

Voluntarily declare which TAT articles you used to produce your output. Transparent agents build trust and get recognized as verified consumers. No auth required — just tell us what you used.

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.
agent_nameNoYour agent name/identifier
output_urlNoURL of your output (optional)
article_slugsYesList of article slugs you used (from the URL)
output_descriptionNoBrief description of what you produced using these articles

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

A3.9/5.0
Behavior3/5

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

Annotations indicate readOnlyHint=false and openWorldHint=true, so the description correctly implies a write/append action. It adds context about no auth required and the voluntary nature, but it does not disclose any side effects, whether the report is updateable, or what happens on repeat submissions. This is acceptable given annotations but not deeply transparent.

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

Conciseness4/5

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

The description is concise at two sentences and front-loads the core action. The second sentence adds motivational context that is somewhat valuable for usage guidance, but could be trimmed. Overall, it is appropriately sized and structured.

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

Completeness4/5

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

With an output schema present and complete parameter descriptions, the description covers the essential context: what to report, when, and that no auth is needed. It does not need to explain return values since the output schema exists. The tool is simple enough that this level of detail is sufficient.

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 coverage is 100% and parameter descriptions are clear and detailed (e.g., agent_id flow, article_slugs format). The description itself adds no new parameter information, so it meets the baseline of 3 but does not elevate further.

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 action ('voluntarily declare') and the resource ('which TAT articles you used'), making the tool's purpose immediately obvious. It also distinguishes itself from sibling tools by focusing on reporting usage rather than retrieving articles or stats.

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

Usage Guidelines4/5

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

The description provides clear context: use this tool after producing output to disclose article usage, with the benefit of being recognized as a verified consumer. It also clarifies that no auth is required. It does not explicitly name alternatives or exclusions, but the use case is reasonably implied.

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.