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stg

Queries a semantic spatiotemporal graph in shared memory to inspect relations, timelines, anchors, consistency, and state chains, helping trace how stored facts change over time and sessions.

Instructions

语义时空图 5 op:relation|timeline|anchors|consistency|state_chain。完整 op/参数语义:cg(op="help", query="<op 名 | 参数名 | 工具名>")

Input Schema

NameRequiredDescriptionDefault
aNo
bNo
opYesrelation|timeline|anchors|consistency|state_chain
bboxNo
descNo
slotNo
layerNo限定层
limitNo返回条数
historyNo
sessionNotimeline 的会话视图开关(归因维度,与授…
subjectNostate_chain 的主体(省略=不过滤)
time_axisNo
time_windowNo
include_retiredNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden, and it discloses nothing: no read-vs-write characterization, no side effects, no auth or rate-limit notes, and no indication whether state_chain or consistency mutate graph state. The op names hint at intent but behavior remains opaque.

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 short sentences, no filler, with the op enumeration front-loaded. The structure is efficient, though the second sentence substitutes a lookup pointer for content rather than adding substance.

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

Completeness2/5

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

For a 14-parameter, multi-op tool with no annotations and no output schema, the description is far too thin to call correctly without a preliminary help lookup. The cg help pointer prevents total failure but leaves the definition dependent on an external call.

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?

With 14 parameters and only 36% schema description coverage, the description must compensate, yet it offers no parameter meaning at all — it only says to query cg(op="help") for param semantics. Parameters like a, b, bbox, slot, time_axis, and include_retired are entirely undocumented in both places.

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

Purpose3/5

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

It names the resource (semantic spatiotemporal graph) and enumerates the five allowed ops, so an agent knows the tool's domain. But it never says what any op actually does, and the op list merely restates the enum already present in the schema, leaving purpose vague beyond the name.

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 pick stg over the sibling cg, nor when to use relation vs timeline vs consistency. The only routing hint is a self-referential pointer to cg(op="help"), which pushes the decision to a second call rather than informing 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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