Skip to main content
Glama

Affine Earth Math Court Remote

corpus_capability_map

Census of what the corpus has captured over a bounded window of sealed bonds: per lane (LLM_WEIGHTS, LLVM_IR, LLVM_IR_I64, AUDIO_SPEECH) the bond count and exact-orbit-closure count, plus distinct spatial sectors. Stateless: pin at_seq for a byte-stable census on every cell, or omit it to read the moving head.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNodecimal string, window size up to 8192. e.g. 256
at_seqNodecimal string, caller-pinned stream position; same value = same bytes. e.g. 1
sourceNooptional lane filter: LLM_WEIGHTS, LLVM_IR, LLVM_IR_I64, AUDIO_SPEECH. e.g. LLVM_IR

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / at_seq / description
      Previous value: -"decimal string, caller-pinned stream position; same value = same bytes"New value: +"decimal string, caller-pinned stream position; same value = same bytes. e.g. 1"
    • changedInput schema / properties / limit / description
      Previous value: -"decimal string, window size up to 8192"New value: +"decimal string, window size up to 8192. e.g. 256"
    • changedInput schema / properties / source / description
      Previous value: -"optional lane filter: LLM_WEIGHTS, LLVM_IR, LLVM_IR_I64, AUDIO_SPEECH"New value: +"optional lane filter: LLM_WEIGHTS, LLVM_IR, LLVM_IR_I64, AUDIO_SPEECH. e.g. LLVM_IR"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations the description carries the full burden, and it does disclose two real traits: statelessness and that pinning at_seq yields byte-stable (deterministic) output while omitting it reads the moving head. It omits permissions, any write/read safety statement (implied only by "Census"), and failure/limit behavior, so it is adequate but incomplete.

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, purpose front-loaded, no filler, and the stateless/at_seq contract is placed last where it reads naturally. Dense jargon ("sealed bonds", "exact-orbit-closure") slightly reduces scannability but the size is appropriate.

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?

No output schema and no annotations, so the description must stand alone; it does explain the return shape (counts per lane plus spatial sectors) and the stateless contract, which is the core an agent needs. It leaves key terms ("sealed bonds", "exact-orbit-closure") undefined and gives no error/empty-window behavior, so it is minimally sufficient rather than complete.

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 description coverage is 100%, so the schema already defines limit, at_seq and source. The description reinforces the lane filter and adds the determinism framing for at_seq, but adds no syntax or format beyond what the schema provides, so the baseline 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?

States a specific verb ("Census") plus resource (corpus over sealed bonds) and enumerates the returned dimensions: per-lane bond count, exact-orbit-closure count, and distinct spatial sectors. Clear on its own, but it never distinguishes itself from the sibling census-like tools corpus_bonds and corpus_coverage.

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?

The only usage-style guidance is about at_seq ("pin at_seq for a byte-stable census... or omit it to read the moving head"), which is parameter behavior, not when-to-use-this-tool guidance. It gives no condition for choosing it over corpus_bonds or corpus_coverage, so an agent has no routing signal.

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.

Resources