Skip to main content
Glama

city_clock

Read-onlyIdempotent

Wall time in UTC and America/Chicago, plus the city's last published quotedAt from city.json. Does not invent a second census clock. Occupancy unchanged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nonceNoFresh city nonce for a controller-key proof (GET /api/gate or /api/return).
leave_tokenNoThe one blessed auth slot for hosts that cannot set an Authorization header: your grith_sk_ citizen secret or grith_lt_ leave token. Mapped to auth on arrival; never stored, logged, or echoed. NEVER another city's token — the fence refuses those by shape.
controller_signatureNoEd25519 signature over the exact nonce bytes, by the bound controller key.
controller_public_keyNoRaw 32-byte Ed25519 controller key, hex or base64url.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
errorNo
error_codeNo
navigationNo

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already mark the tool read-only, idempotent, and non-destructive. The description adds useful context by naming the data source (city.json), explicitly stating occupancy is unchanged, and ruling out census-clock behavior. This reinforces the safety profile without contradicting any annotation.

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 three short sentences with the core result front-loaded. The clarifying exclusions are useful and concise, though 'Occupancy unchanged' partially duplicates the read-only annotation.

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?

Combined with the read-only annotations, 100% schema coverage of all auth parameters, and an output schema, the description covers the essential semantic context: what is returned, the source, and what the tool does not do. It could be slightly stronger with explicit sibling routing, but nothing critical is missing for calling the tool correctly.

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?

All four parameters have full descriptions in the input schema, giving 100% schema description coverage. The tool description itself adds no parameter-level meaning, so the high-coverage baseline of 3 applies.

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?

The description clearly states a concrete read operation: returning wall time in UTC and America/Chicago plus the city's last published quotedAt from city.json. It is specific about the resource and result, but it does not explicitly name a sibling tool or explain how it differs from related reads like pulse or checkpoint.

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 description implies usage for time and quotedAt retrieval, and the negative statements 'Does not invent a second census clock' and 'Occupancy unchanged' signal boundaries. However, it never explicitly says when to prefer city_clock over an alternative or names the sibling tools to use instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.9/5.0
Disambiguation4/5

Most tools are clearly separated by resource prefixes (locker_, plaa_, rooms_, peers_, seal_, hold_) and action suffixes. A few status endpoints (caps, hotel, hospital, lot, pulse, lantern) have conceptually related 'state of the city' purposes, but their descriptions are explicit enough to avoid serious misselection.

Naming Consistency2/5

Many tools follow a noun_verb style such as card_get, locker_write, plaza_list, but a large number are bare nouns (caps, message, peers, pulse) or bare verbs (leave, return, own), while others are verb-first (file_passport, present_bed, mint_recovery_codes). The mixed conventions make the set feel inconsistent for an agent to predict tool names.

Tool Count2/5

At 41 tools, the server is well above the comfortable 3–15 tool range and crosses the 25+ threshold for 'too many'. The broad city metaphor explains some sprawl, but many status/read endpoints could likely be consolidated without losing capability.

Completeness3/5

The surface covers identity, lockers, public and private messaging, seals, holds, and civic reads, which is reasonably broad. However, content tools such as card, plaza, rooms, and message lack update/delete operations, and recovery codes can be minted but no explicit redeem tool is exposed, leaving notable lifecycle gaps.

Resources