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Bing crawl health

bing_crawl_health
Read-only

Is Bing crawling and indexing the site, and what's broken? Returns daily crawl stats (pages crawled, pages in Bing's index, crawl errors, HTTP status counts, robots.txt blocks) and the list of URLs Bing has crawl issues with (redirects, 4xx/5xx, robots.txt blocks, DNS/timeouts, malware). Fixed issues can take a few days to drop off Bing's list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoHow many recent days of crawl stats to return.
siteUrlNoThe site, as listed by bing_list_sites (e.g. 'https://example.com/'). A bare domain like 'example.com' also works. Only needed when the account has more than one verified site.
issueLimitNoMax URLs with crawl issues to return.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, non-destructive, open-world behavior, so the safety profile is covered. The description adds genuinely useful context beyond the annotations: the specific issue categories found, the daily-stats nature, and the important eventual-consistency caveat that fixed issues take days to drop off Bing's list.

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?

Two sentences, front-loaded with the core question and then the return contents, with no filler. Dense but every clause earns its place; the only minor cost is that the parenthetical lists make the middle sentence long.

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 no output schema, the description correctly carries the burden of explaining what is returned (daily stats plus an issue URL list) and flags the staleness caveat. It is nearly complete; it could note pagination/limit interaction between issueLimit and the returned list, but nothing essential is missing.

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 all three parameters (days, siteUrl, issueLimit) are fully documented with defaults, bounds and examples in the schema itself. The description mentions 'daily crawl stats' and a URL list but adds no syntax or format detail beyond what the schema already provides, so the baseline 3 applies.

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 opens with a precise question that names both the verb-resources (crawling, indexing) and the diagnostic angle ('what's broken?'), then enumerates the exact data returned. This clearly distinguishes it from siblings like bing_inspect_url (single URL) and bing_search_performance (traffic metrics).

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?

Usage context is implied by the framing question about whether Bing is crawling the site, but there is no explicit when-to-use guidance or mention of when to prefer bing_inspect_url for a single URL or bing_list_sites for site selection. An agent can infer intent but must reason about alternatives itself.

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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