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get-monitored-articles

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Get all monitored articles for the organization If this tool returns { ok: false, error }, it failed. Explain the error to the user concisely in plain language and ask them to help resolve it (for example, select a valid project) — do not retry the same call blindly.

Input Schema

NameRequiredDescriptionDefault
pageNo
limitNo
searchNo
contextYesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
filtersNo
orderByNo
llm_modelYesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond that by disclosing the failure envelope shape (`{ ok: false, error }`) and a specific recovery protocol — tell the user, don't blind-retry — which the agent would otherwise not know.

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 core purpose is front-loaded in the first clause, with the error-handling note following. Both sentences carry information and there is no filler, though the run-on first sentence would read better split.

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

Completeness3/5

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

With seven parameters, 29% schema coverage, and no output schema, the description leaves the response shape and the filtering/pagination model entirely unexplained. The error-handling contract is a useful addition, but an agent still cannot predict what a monitored article contains or how filters map to results.

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

Parameters2/5

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

Schema description coverage is only 29%: only `context` and `llm_model` are documented, while `page`, `limit`, `search`, `filters`, and `orderBy` carry no schema descriptions. The description compensates for none of this — it never mentions pagination, search, filter, or sort behavior, so an agent must infer the semantics of five parameters entirely on its own.

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

Purpose4/5

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

States a specific verb and resource with organizational scope: 'Get all monitored articles for the organization.' The intent is immediately legible, but it does not distinguish itself from nearby siblings such as get-monitoring-stats or list-llm-monitorings, leaving the agent to infer which retrieval surface returns what.

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

Usage Guidelines2/5

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

There is no guidance on when to call this versus alternatives like get-monitoring-stats, get-llm-monitoring, or list-llm-monitorings, nor any stated prerequisites beyond the implied org scope. The only conditional guidance is about error recovery, not tool selection.

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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