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MCP Observatory: one read only walk over every https endpoint in the official registry

mcp_observatory_measure_now

Contact one https address now and report what we see: whether it speaks MCP, whether it carries an agent card, and whether that card names who compensates the operator. Read only; no tool is called. robots.txt is read first and honoured. This does NOT change the published record - the next full walk does that. Rate limited, because it contacts somebody else's server on your behalf.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYeshttps endpoint, e.g. https://example.com/mcp

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations present, the description carries the full burden of behavioral disclosure. It does this thoroughly: read-only, no tool called, robots.txt honored, no record mutation, rate limited, and contacts an external server on the user's behalf. This gives the agent a clear safety and side-effect profile.

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?

The description is four short sentences, each earning its place: main action, read-only confirmation, robots.txt behavior, non-mutation, and rate limiting. It is front-loaded with the core purpose and contains no filler.

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?

For a single-parameter network-probing tool with no output schema, the description covers what it does, what it reports, its safety constraints, and its side-effect boundary. An agent has enough context to decide when to invoke it and what to expect from the result.

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?

The schema already fully documents the single parameter, address, with format and example guidance. The description does not add new parameter-level meaning beyond confirming it is a single https address, so the baseline of 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 uses a specific verb and resource: 'Contact one https address now and report what we see,' followed by the exact three checks it performs. It also distinguishes itself from the broader observatory workflow by stating it does NOT change the published record, which separates it from the next full walk.

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?

It gives clear context: use this for an immediate, one-off live probe of a single address, and explicitly states what it is not for by saying 'This does NOT change the published record - the next full walk does that.' However, it does not explicitly name sibling alternatives like lookup or state for reviewing existing records.

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

A3.8/5.0
Disambiguation5/5

Each tool covers a clearly separate concern: aggregate counts, per-address records, live probing, methodology, measurement metadata, and disclosure field names. The only mild overlap (counts in summary vs disclosure_guide) is disambiguated by their descriptions.

Naming Consistency4/5

All tools share the mcp_observatory_ prefix and snake_case, but the suffixes are mostly nouns (state, summary, method, lookup, disclosure_guide) with one verb-like exception (measure_now). This is a minor deviation rather than a chaotic mix.

Tool Count5/5

Six tools is well-scoped for a read-only observatory server. Each tool adds a distinct capability and none feel redundant or padding.

Completeness4/5

The surface covers the main tasks: querying recorded results, running a live probe, understanding methodology and limitations, and getting aggregate counts. The notable gap is the explicit absence of any tool listing addresses, but that can be worked around by obtaining addresses from the official registry.