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bulk-add-monitored-articles

Add multiple publications to Publication Tracker. Each item needs its own article URL, advertiser project ID, anchor text, and anchor rel — they can differ per row. 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
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."
articlesYes
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

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavior: the failure response shape `{ ok: false, error }` and the instruction to surface the error rather than retry, which an agent could not infer from 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.

Conciseness4/5

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

Three sentences, front-loaded with the action and the per-row constraint, then the failure handling. The error-handling sentence is long but carries actionable instruction rather than filler.

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?

For a bulk mutation with no output schema, the failure path is well covered, but the success return shape and atomicity are unaddressed: the description does not say whether a single bad row aborts the whole batch or whether valid rows are still added. That partial-failure behavior is the key unknown for a bulk tool.

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

Parameters4/5

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

Schema coverage is 67%, with context and llm_model already documented in-schema, but the article item fields carry no descriptions. The description compensates by clarifying that each row carries its own URL, project ID, anchor text and anchor rel and that these 'can differ per row' — a non-obvious semantic not encoded in the schema.

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 ('Add multiple publications to Publication Tracker') and the plural 'multiple' implicitly distinguishes it from the singular sibling add-monitored-article. It never names that sibling explicitly, so the differentiation is inferred 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.

Usage Guidelines3/5

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

The bulk framing implies when to use it, and there is useful recovery guidance for the failure path ('do not retry the same call blindly'), but there is no explicit statement of when to prefer this over add-monitored-article or what preconditions (valid project IDs, URL format) must hold before calling.

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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